Running 'testthat.R' [9s/10s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(SPOT)
  > 
  > test_check("SPOT")
   ----------- FAILURE REPORT -------------- 
   --- failure: the condition has length > 1 ---
   --- srcref --- 
  : 
   --- package (from environment) --- 
  SPOT
   --- call from context --- 
  krigingLikelihood(x, fX, fy, optimizeP, useLambda)
   --- call from argument --- 
  if (class(cholPsi) == "try-error") {
      penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
      return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, mu = NA, 
          SSQ = NA))
  }
   --- R stacktrace ---
  where 1: krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  where 2: FUN(newX[, i], ...)
  where 3: apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
  where 4: fun(matrix(x, 1), ...)
  where 5: fn(par, ...)
  where 6: (function (par) 
  fn(par, ...))(c(0.05, 0.05, 0))
  where 7: optim(par = x, fn = fn, lower = lower, upper = upper, control = control, 
      method = "L-BFGS-B", ...)
  where 8: fit$algTheta(x = x0, fun = function(x, fX, fy, optimizeP, useLambda) {
      if (!is.matrix(x)) {
          fitFun(x, fX, fy, optimizeP, useLambda)
      }
      else {
          apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
      }
  }, lower = LowerTheta, upper = UpperTheta, control = opts, fX = A, 
      fy = fit$y, optimizeP = fit$optimizeP, useLambda = fit$useLambda)
  where 9: control$model(x = x, y = y, control = control$modelControl)
  where 10: spotLoop(x = x, y = y, fun = fun, lower = lower, upper = upper, 
      control = control, ...)
  where 11 at testthat/test.inequalityConstraint.R#32: spot(, fun = funSphere, lower = c(-10, -20), upper = c(20, 8), 
      control = list(funEvals = 15, modelControl = list(target = "ei"), 
          optimizer = optimNLOPTR, optimizerControl = contr))
  where 12: eval(code, test_env)
  where 13: eval(code, test_env)
  where 14: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 15: doTryCatch(return(expr), name, parentenv, handler)
  where 16: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 17: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 18: doTryCatch(return(expr), name, parentenv, handler)
  where 19: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 20: tryCatchList(expr, classes, parentenv, handlers)
  where 21: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 22: test_code(desc, code, env = parent.frame())
  where 23 at testthat/test.inequalityConstraint.R#26: test_that("check SPOT+NLOPTR with inequality constraints but with default design", 
      {
          contr <- list()
          contr$eval_g_ineq <- function(x) 1 + x[1] - x[2]
          contr$funEvals <- 100
          contr$opts$algorithm <- "NLOPT_GN_ISRES"
          res <- spot(, fun = funSphere, lower = c(-10, -20), upper = c(20, 
              8), control = list(funEvals = 15, modelControl = list(target = "ei"), 
              optimizer = optimNLOPTR, optimizerControl = contr))
          res$xbest
          res$ybest
          expect_true(!all(apply(res$x, 1, contr$eval_g_ineq) <= 
              0))
      })
  where 24: eval(code, test_env)
  where 25: eval(code, test_env)
  where 26: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 27: doTryCatch(return(expr), name, parentenv, handler)
  where 28: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 29: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 30: doTryCatch(return(expr), name, parentenv, handler)
  where 31: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 32: tryCatchList(expr, classes, parentenv, handlers)
  where 33: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 34: test_code(NULL, exprs, env)
  where 35: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
  where 36: force(code)
  where 37: doWithOneRestart(return(expr), restart)
  where 38: withOneRestart(expr, restarts[[1L]])
  where 39: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 40: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter, 
      {
          reporter$start_file(basename(path))
          lister$start_file(basename(path))
          source_file(path, new.env(parent = env), chdir = TRUE, 
              wrap = wrap)
          reporter$.end_context()
          reporter$end_file()
      })
  where 41: FUN(X[[i]], ...)
  where 42: lapply(paths, test_file, env = env, reporter = current_reporter, 
      start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
  where 43: force(code)
  where 44: doWithOneRestart(return(expr), restart)
  where 45: withOneRestart(expr, restarts[[1L]])
  where 46: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 47: with_reporter(reporter = current_reporter, results <- lapply(paths, 
      test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE, 
      load_helpers = FALSE, wrap = wrap))
  where 48: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 49: test_dir(path = test_path, reporter = reporter, env = env, filter = filter, 
      ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, 
      wrap = wrap)
  where 50: test_package_dir(package = package, test_path = test_path, filter = filter, 
      reporter = reporter, ..., stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 51: test_check("SPOT")
  
   --- value of length: 2 type: logical ---
  [1] FALSE FALSE
   --- function from context --- 
  function (x, AX, Ay, optimizeP = FALSE, useLambda = TRUE) 
  {
      nx <- nrow(AX)
      theta <- 10^x[1:nx]
      if (optimizeP) {
          AX <- abs(AX)^(x[(nx + 1):(2 * nx)])
      }
      lambda <- 0
      if (useLambda) 
          lambda <- 10^x[length(x)]
      if (any(theta == 0) || any(is.infinite(c(theta, lambda)))) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, ssq = NA))
      }
      n <- dim(Ay)[1]
      Psi <- exp(-matrix(colSums(theta * AX), n, n))
      if (useLambda) 
          Psi <- Psi + diag(lambda, n)
      if (any(is.infinite(Psi))) {
          penalty <- 10000
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      kap <- rcond(Psi)
      if (is.na(kap)) 
          kap <- 0
      if (kap < 1e-10) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA, a = NA, U = NA, isIndefinite = TRUE))
      }
      cholPsi <- try(chol(Psi), TRUE)
      if (class(cholPsi) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      LnDetPsi <- 2 * sum(log(abs(diag(cholPsi))))
      Psinv <- try(chol2inv(cholPsi), TRUE)
      if (class(Psinv) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      psisum <- sum(Psinv)
      if (psisum == 0) {
          psisum <- as.numeric(rep(1, n) %*% Psinv %*% rep(1, n))
          if (psisum == 0) {
              return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
                  mu = NA, SSQ = NA))
          }
      }
      mu <- sum(Psinv %*% Ay)/psisum
      if (is.infinite(mu) | is.na(mu)) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      yonemu <- Ay - mu
      SigmaSqr <- (t(yonemu) %*% Psinv %*% yonemu)/n
      if (SigmaSqr < 0) {
          return(list(NegLnLike = 10000 - SigmaSqr, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      NegLnLike <- n * log(SigmaSqr) + LnDetPsi
      if (is.na(NegLnLike) | is.infinite(NegLnLike)) 
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      list(NegLnLike = NegLnLike, Psi = Psi, Psinv = Psinv, mu = mu, 
          yonemu = yonemu, ssq = SigmaSqr)
  }
  <bytecode: 0xd0672c8>
  <environment: namespace:SPOT>
   --- function search by body ---
  Function krigingLikelihood in namespace SPOT has this body.
   ----------- END OF FAILURE REPORT -------------- 
  -- 1. Error: check SPOT+NLOPTR with inequality constraints but with default desi
  the condition has length > 1
  Backtrace:
    1. SPOT::spot(...)
    2. SPOT::spotLoop(...)
    3. control$model(x = x, y = y, control = control$modelControl)
    4. fit$algTheta(...)
    5. stats::optim(...)
    7. SPOT:::fn(par, ...)
    8. SPOT:::fun(matrix(x, 1), ...)
    9. base::apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
   10. SPOT:::FUN(newX[, i], ...)
   11. SPOT::krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  
   ----------- FAILURE REPORT -------------- 
   --- failure: the condition has length > 1 ---
   --- srcref --- 
  : 
   --- package (from environment) --- 
  SPOT
   --- call from context --- 
  krigingLikelihood(x, fX, fy, optimizeP, useLambda)
   --- call from argument --- 
  if (class(cholPsi) == "try-error") {
      penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
      return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, mu = NA, 
          SSQ = NA))
  }
   --- R stacktrace ---
  where 1: krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  where 2: FUN(newX[, i], ...)
  where 3: apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
  where 4: fun(matrix(x, 1), ...)
  where 5: fn(par, ...)
  where 6: (function (par) 
  fn(par, ...))(c(0.05, 0.05, 0))
  where 7: optim(par = x, fn = fn, lower = lower, upper = upper, control = control, 
      method = "L-BFGS-B", ...)
  where 8: fit$algTheta(x = x0, fun = function(x, fX, fy, optimizeP, useLambda) {
      if (!is.matrix(x)) {
          fitFun(x, fX, fy, optimizeP, useLambda)
      }
      else {
          apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
      }
  }, lower = LowerTheta, upper = UpperTheta, control = opts, fX = A, 
      fy = fit$y, optimizeP = fit$optimizeP, useLambda = fit$useLambda)
  where 9: control$model(x = x, y = y, control = control$modelControl)
  where 10: spotLoop(x = x, y = y, fun = fun, lower = lower, upper = upper, 
      control = control, ...)
  where 11 at testthat/test.inequalityConstraint.R#52: spot(, fun = funSphere, lower = c(-10, -20), upper = c(20, 8), 
      control = list(funEvals = 15, modelControl = list(target = "ei"), 
          optimizer = optimNLOPTR, optimizerControl = contr, designControl = list(inequalityConstraint = contr$eval_g_ineq)))
  where 12: eval(code, test_env)
  where 13: eval(code, test_env)
  where 14: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 15: doTryCatch(return(expr), name, parentenv, handler)
  where 16: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 17: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 18: doTryCatch(return(expr), name, parentenv, handler)
  where 19: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 20: tryCatchList(expr, classes, parentenv, handlers)
  where 21: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 22: test_code(desc, code, env = parent.frame())
  where 23 at testthat/test.inequalityConstraint.R#46: test_that("check SPOT+NLOPTR with inequality constraints also in design", 
      {
          contr <- list()
          contr$eval_g_ineq <- function(x) 1 + x[1] - x[2]
          contr$funEvals <- 100
          contr$opts$algorithm <- "NLOPT_GN_ISRES"
          res <- spot(, fun = funSphere, lower = c(-10, -20), upper = c(20, 
              8), control = list(funEvals = 15, modelControl = list(target = "ei"), 
              optimizer = optimNLOPTR, optimizerControl = contr, 
              designControl = list(inequalityConstraint = contr$eval_g_ineq)))
          res$xbest
          res$ybest
          expect_true(all(apply(res$x, 1, contr$eval_g_ineq) <= 
              0))
      })
  where 24: eval(code, test_env)
  where 25: eval(code, test_env)
  where 26: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 27: doTryCatch(return(expr), name, parentenv, handler)
  where 28: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 29: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 30: doTryCatch(return(expr), name, parentenv, handler)
  where 31: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 32: tryCatchList(expr, classes, parentenv, handlers)
  where 33: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 34: test_code(NULL, exprs, env)
  where 35: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
  where 36: force(code)
  where 37: doWithOneRestart(return(expr), restart)
  where 38: withOneRestart(expr, restarts[[1L]])
  where 39: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 40: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter, 
      {
          reporter$start_file(basename(path))
          lister$start_file(basename(path))
          source_file(path, new.env(parent = env), chdir = TRUE, 
              wrap = wrap)
          reporter$.end_context()
          reporter$end_file()
      })
  where 41: FUN(X[[i]], ...)
  where 42: lapply(paths, test_file, env = env, reporter = current_reporter, 
      start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
  where 43: force(code)
  where 44: doWithOneRestart(return(expr), restart)
  where 45: withOneRestart(expr, restarts[[1L]])
  where 46: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 47: with_reporter(reporter = current_reporter, results <- lapply(paths, 
      test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE, 
      load_helpers = FALSE, wrap = wrap))
  where 48: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 49: test_dir(path = test_path, reporter = reporter, env = env, filter = filter, 
      ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, 
      wrap = wrap)
  where 50: test_package_dir(package = package, test_path = test_path, filter = filter, 
      reporter = reporter, ..., stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 51: test_check("SPOT")
  
   --- value of length: 2 type: logical ---
  [1] FALSE FALSE
   --- function from context --- 
  function (x, AX, Ay, optimizeP = FALSE, useLambda = TRUE) 
  {
      nx <- nrow(AX)
      theta <- 10^x[1:nx]
      if (optimizeP) {
          AX <- abs(AX)^(x[(nx + 1):(2 * nx)])
      }
      lambda <- 0
      if (useLambda) 
          lambda <- 10^x[length(x)]
      if (any(theta == 0) || any(is.infinite(c(theta, lambda)))) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, ssq = NA))
      }
      n <- dim(Ay)[1]
      Psi <- exp(-matrix(colSums(theta * AX), n, n))
      if (useLambda) 
          Psi <- Psi + diag(lambda, n)
      if (any(is.infinite(Psi))) {
          penalty <- 10000
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      kap <- rcond(Psi)
      if (is.na(kap)) 
          kap <- 0
      if (kap < 1e-10) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA, a = NA, U = NA, isIndefinite = TRUE))
      }
      cholPsi <- try(chol(Psi), TRUE)
      if (class(cholPsi) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      LnDetPsi <- 2 * sum(log(abs(diag(cholPsi))))
      Psinv <- try(chol2inv(cholPsi), TRUE)
      if (class(Psinv) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      psisum <- sum(Psinv)
      if (psisum == 0) {
          psisum <- as.numeric(rep(1, n) %*% Psinv %*% rep(1, n))
          if (psisum == 0) {
              return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
                  mu = NA, SSQ = NA))
          }
      }
      mu <- sum(Psinv %*% Ay)/psisum
      if (is.infinite(mu) | is.na(mu)) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      yonemu <- Ay - mu
      SigmaSqr <- (t(yonemu) %*% Psinv %*% yonemu)/n
      if (SigmaSqr < 0) {
          return(list(NegLnLike = 10000 - SigmaSqr, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      NegLnLike <- n * log(SigmaSqr) + LnDetPsi
      if (is.na(NegLnLike) | is.infinite(NegLnLike)) 
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      list(NegLnLike = NegLnLike, Psi = Psi, Psinv = Psinv, mu = mu, 
          yonemu = yonemu, ssq = SigmaSqr)
  }
  <bytecode: 0xd0672c8>
  <environment: namespace:SPOT>
   --- function search by body ---
  Function krigingLikelihood in namespace SPOT has this body.
   ----------- END OF FAILURE REPORT -------------- 
  -- 2. Error: check SPOT+NLOPTR with inequality constraints also in design (@test
  the condition has length > 1
  Backtrace:
    1. SPOT::spot(...)
    2. SPOT::spotLoop(...)
    3. control$model(x = x, y = y, control = control$modelControl)
    4. fit$algTheta(...)
    5. stats::optim(...)
    7. SPOT:::fn(par, ...)
    8. SPOT:::fun(matrix(x, 1), ...)
    9. base::apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
   10. SPOT:::FUN(newX[, i], ...)
   11. SPOT::krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  
   ----------- FAILURE REPORT -------------- 
   --- failure: the condition has length > 1 ---
   --- srcref --- 
  : 
   --- package (from environment) --- 
  SPOT
   --- call from context --- 
  krigingLikelihood(x, fX, fy, optimizeP, useLambda)
   --- call from argument --- 
  if (class(cholPsi) == "try-error") {
      penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
      return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, mu = NA, 
          SSQ = NA))
  }
   --- R stacktrace ---
  where 1: krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  where 2: FUN(newX[, i], ...)
  where 3: apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
  where 4: fun(matrix(x, 1), ...)
  where 5: fn(par, ...)
  where 6: (function (par) 
  fn(par, ...))(c(0.0466666666666667, 0.0466666666666667, 0.0466666666666667, 
  0))
  where 7: optim(par = x, fn = fn, lower = lower, upper = upper, control = control, 
      method = "L-BFGS-B", ...)
  where 8: fit$algTheta(x = x0, fun = function(x, fX, fy, optimizeP, useLambda) {
      if (!is.matrix(x)) {
          fitFun(x, fX, fy, optimizeP, useLambda)
      }
      else {
          apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
      }
  }, lower = LowerTheta, upper = UpperTheta, control = opts, fX = A, 
      fy = fit$y, optimizeP = fit$optimizeP, useLambda = fit$useLambda)
  where 9: control$model(x = x, y = y, control = control$modelControl)
  where 10: spotLoop(x = x, y = y, fun = fun, lower = lower, upper = upper, 
      control = control, ...)
  where 11 at testthat/test.initialInputCheck.ControlList.R#42: spot(x = xCorrect, fun = funSphere, lower = lCorrect, upper = uCorrect, 
      control = c)
  where 12: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
  where 13: withCallingHandlers({
      code
      NULL
  }, error = function(cnd) {
      if (can_entrace(cnd)) {
          cnd <- cnd_entrace(cnd)
      }
      return_from(env, cnd)
  })
  where 14: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)), 
      ...)
  where 15: quasi_capture(enquo(object), label, capture_error, entrace = TRUE)
  where 16 at testthat/test.initialInputCheck.ControlList.R#41: expect_error({
      spot(x = xCorrect, fun = funSphere, lower = lCorrect, upper = uCorrect, 
          control = c)
  }, regexp = NA)
  where 17: eval(code, test_env)
  where 18: eval(code, test_env)
  where 19: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 20: doTryCatch(return(expr), name, parentenv, handler)
  where 21: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 22: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 23: doTryCatch(return(expr), name, parentenv, handler)
  where 24: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 25: tryCatchList(expr, classes, parentenv, handlers)
  where 26: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 27: test_code(desc, code, env = parent.frame())
  where 28 at testthat/test.initialInputCheck.ControlList.R#3: test_that("Wrong Control Settings are blocked", {
      xCorrect <- matrix(1:12, ncol = 3)
      lCorrect <- c(-5, -5, -5)
      uCorrect <- c(15, 15, 15)
      errorControlLists <- list(list(funEvals = "50", designControl = list(size = 10)), 
          list(funEvals = "50", designControl = list(size = 10, 
              replicates = "B")), list(funEvals = 50, designControl = list(size = 10, 
              replicates = "B")), list(funEvals = 50, designControl = list(size = 10, 
              replicates = 10)), list(funEvals = 8), list(funEvals = 13), 
          list(funEvals = 3, designControl = list(size = 1)))
      warningControlLists <- list(list(funEvals = 50 + 5 * 4, designControl = list(size = 10, 
          replicates = 5)), list(funEvals = 50 + 4, designControl = list(size = 50)), 
          list(funEvals = 14))
      goodControlLists <- list(list(funEvals <- 50, designControl <- list(size = 10, 
          replicates = 3)), list(funEvals <- 8 + 4, designControl <- list(size = 7, 
          replicates = 1)))
      for (c in goodControlLists) {
          expect_error({
              spot(x = xCorrect, fun = funSphere, lower = lCorrect, 
                  upper = uCorrect, control = c)
          }, regexp = NA)
      }
      for (c in warningControlLists) {
          expect_warning({
              spot(x = xCorrect, fun = funSphere, lower = lCorrect, 
                  upper = uCorrect, control = c)
          }, regexp = "SPOT Configuration Warning:")
      }
      for (c in errorControlLists) {
          expect_error({
              spot(x = xCorrect, fun = funSphere, lower = lCorrect, 
                  upper = uCorrect, control = c)
          }, regexp = "SPOT Configuration Error:")
      }
  })
  where 29: eval(code, test_env)
  where 30: eval(code, test_env)
  where 31: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 32: doTryCatch(return(expr), name, parentenv, handler)
  where 33: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 34: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 35: doTryCatch(return(expr), name, parentenv, handler)
  where 36: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 37: tryCatchList(expr, classes, parentenv, handlers)
  where 38: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 39: test_code(NULL, exprs, env)
  where 40: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
  where 41: force(code)
  where 42: doWithOneRestart(return(expr), restart)
  where 43: withOneRestart(expr, restarts[[1L]])
  where 44: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 45: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter, 
      {
          reporter$start_file(basename(path))
          lister$start_file(basename(path))
          source_file(path, new.env(parent = env), chdir = TRUE, 
              wrap = wrap)
          reporter$.end_context()
          reporter$end_file()
      })
  where 46: FUN(X[[i]], ...)
  where 47: lapply(paths, test_file, env = env, reporter = current_reporter, 
      start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
  where 48: force(code)
  where 49: doWithOneRestart(return(expr), restart)
  where 50: withOneRestart(expr, restarts[[1L]])
  where 51: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 52: with_reporter(reporter = current_reporter, results <- lapply(paths, 
      test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE, 
      load_helpers = FALSE, wrap = wrap))
  where 53: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 54: test_dir(path = test_path, reporter = reporter, env = env, filter = filter, 
      ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, 
      wrap = wrap)
  where 55: test_package_dir(package = package, test_path = test_path, filter = filter, 
      reporter = reporter, ..., stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 56: test_check("SPOT")
  
   --- value of length: 2 type: logical ---
  [1] FALSE FALSE
   --- function from context --- 
  function (x, AX, Ay, optimizeP = FALSE, useLambda = TRUE) 
  {
      nx <- nrow(AX)
      theta <- 10^x[1:nx]
      if (optimizeP) {
          AX <- abs(AX)^(x[(nx + 1):(2 * nx)])
      }
      lambda <- 0
      if (useLambda) 
          lambda <- 10^x[length(x)]
      if (any(theta == 0) || any(is.infinite(c(theta, lambda)))) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, ssq = NA))
      }
      n <- dim(Ay)[1]
      Psi <- exp(-matrix(colSums(theta * AX), n, n))
      if (useLambda) 
          Psi <- Psi + diag(lambda, n)
      if (any(is.infinite(Psi))) {
          penalty <- 10000
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      kap <- rcond(Psi)
      if (is.na(kap)) 
          kap <- 0
      if (kap < 1e-10) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA, a = NA, U = NA, isIndefinite = TRUE))
      }
      cholPsi <- try(chol(Psi), TRUE)
      if (class(cholPsi) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      LnDetPsi <- 2 * sum(log(abs(diag(cholPsi))))
      Psinv <- try(chol2inv(cholPsi), TRUE)
      if (class(Psinv) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      psisum <- sum(Psinv)
      if (psisum == 0) {
          psisum <- as.numeric(rep(1, n) %*% Psinv %*% rep(1, n))
          if (psisum == 0) {
              return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
                  mu = NA, SSQ = NA))
          }
      }
      mu <- sum(Psinv %*% Ay)/psisum
      if (is.infinite(mu) | is.na(mu)) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      yonemu <- Ay - mu
      SigmaSqr <- (t(yonemu) %*% Psinv %*% yonemu)/n
      if (SigmaSqr < 0) {
          return(list(NegLnLike = 10000 - SigmaSqr, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      NegLnLike <- n * log(SigmaSqr) + LnDetPsi
      if (is.na(NegLnLike) | is.infinite(NegLnLike)) 
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      list(NegLnLike = NegLnLike, Psi = Psi, Psinv = Psinv, mu = mu, 
          yonemu = yonemu, ssq = SigmaSqr)
  }
  <bytecode: 0xd0672c8>
  <environment: namespace:SPOT>
   --- function search by body ---
  Function krigingLikelihood in namespace SPOT has this body.
   ----------- END OF FAILURE REPORT -------------- 
  -- 3. Failure: Wrong Control Settings are blocked (@test.initialInputCheck.Contr
  `{ ... }` threw an error.
  Message: the condition has length > 1
  Class:   simpleError/error/condition
  Backtrace:
    1. testthat::expect_error(...)
    6. SPOT::spot(...)
    7. SPOT::spotLoop(...)
    8. control$model(x = x, y = y, control = control$modelControl)
    9. fit$algTheta(...)
   10. stats::optim(...)
   12. SPOT:::fn(par, ...)
   13. SPOT:::fun(matrix(x, 1), ...)
   14. base::apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
   15. SPOT:::FUN(newX[, i], ...)
   16. SPOT::krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  
   ----------- FAILURE REPORT -------------- 
   --- failure: the condition has length > 1 ---
   --- srcref --- 
  : 
   --- package (from environment) --- 
  SPOT
   --- call from context --- 
  krigingLikelihood(x, fX, fy, optimizeP, useLambda)
   --- call from argument --- 
  if (class(cholPsi) == "try-error") {
      penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
      return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, mu = NA, 
          SSQ = NA))
  }
   --- R stacktrace ---
  where 1: krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  where 2: FUN(newX[, i], ...)
  where 3: apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
  where 4: fun(matrix(x, 1), ...)
  where 5: fn(par, ...)
  where 6: (function (par) 
  fn(par, ...))(c(0.0466666666666667, 0.0466666666666667, 0.0466666666666667, 
  0))
  where 7: optim(par = x, fn = fn, lower = lower, upper = upper, control = control, 
      method = "L-BFGS-B", ...)
  where 8: fit$algTheta(x = x0, fun = function(x, fX, fy, optimizeP, useLambda) {
      if (!is.matrix(x)) {
          fitFun(x, fX, fy, optimizeP, useLambda)
      }
      else {
          apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
      }
  }, lower = LowerTheta, upper = UpperTheta, control = opts, fX = A, 
      fy = fit$y, optimizeP = fit$optimizeP, useLambda = fit$useLambda)
  where 9: control$model(x = x, y = y, control = control$modelControl)
  where 10: spotLoop(x = x, y = y, fun = fun, lower = lower, upper = upper, 
      control = control, ...)
  where 11 at testthat/test.initialInputCheck.ControlList.R#42: spot(x = xCorrect, fun = funSphere, lower = lCorrect, upper = uCorrect, 
      control = c)
  where 12: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
  where 13: withCallingHandlers({
      code
      NULL
  }, error = function(cnd) {
      if (can_entrace(cnd)) {
          cnd <- cnd_entrace(cnd)
      }
      return_from(env, cnd)
  })
  where 14: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)), 
      ...)
  where 15: quasi_capture(enquo(object), label, capture_error, entrace = TRUE)
  where 16 at testthat/test.initialInputCheck.ControlList.R#41: expect_error({
      spot(x = xCorrect, fun = funSphere, lower = lCorrect, upper = uCorrect, 
          control = c)
  }, regexp = NA)
  where 17: eval(code, test_env)
  where 18: eval(code, test_env)
  where 19: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 20: doTryCatch(return(expr), name, parentenv, handler)
  where 21: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 22: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 23: doTryCatch(return(expr), name, parentenv, handler)
  where 24: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 25: tryCatchList(expr, classes, parentenv, handlers)
  where 26: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 27: test_code(desc, code, env = parent.frame())
  where 28 at testthat/test.initialInputCheck.ControlList.R#3: test_that("Wrong Control Settings are blocked", {
      xCorrect <- matrix(1:12, ncol = 3)
      lCorrect <- c(-5, -5, -5)
      uCorrect <- c(15, 15, 15)
      errorControlLists <- list(list(funEvals = "50", designControl = list(size = 10)), 
          list(funEvals = "50", designControl = list(size = 10, 
              replicates = "B")), list(funEvals = 50, designControl = list(size = 10, 
              replicates = "B")), list(funEvals = 50, designControl = list(size = 10, 
              replicates = 10)), list(funEvals = 8), list(funEvals = 13), 
          list(funEvals = 3, designControl = list(size = 1)))
      warningControlLists <- list(list(funEvals = 50 + 5 * 4, designControl = list(size = 10, 
          replicates = 5)), list(funEvals = 50 + 4, designControl = list(size = 50)), 
          list(funEvals = 14))
      goodControlLists <- list(list(funEvals <- 50, designControl <- list(size = 10, 
          replicates = 3)), list(funEvals <- 8 + 4, designControl <- list(size = 7, 
          replicates = 1)))
      for (c in goodControlLists) {
          expect_error({
              spot(x = xCorrect, fun = funSphere, lower = lCorrect, 
                  upper = uCorrect, control = c)
          }, regexp = NA)
      }
      for (c in warningControlLists) {
          expect_warning({
              spot(x = xCorrect, fun = funSphere, lower = lCorrect, 
                  upper = uCorrect, control = c)
          }, regexp = "SPOT Configuration Warning:")
      }
      for (c in errorControlLists) {
          expect_error({
              spot(x = xCorrect, fun = funSphere, lower = lCorrect, 
                  upper = uCorrect, control = c)
          }, regexp = "SPOT Configuration Error:")
      }
  })
  where 29: eval(code, test_env)
  where 30: eval(code, test_env)
  where 31: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 32: doTryCatch(return(expr), name, parentenv, handler)
  where 33: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 34: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 35: doTryCatch(return(expr), name, parentenv, handler)
  where 36: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 37: tryCatchList(expr, classes, parentenv, handlers)
  where 38: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 39: test_code(NULL, exprs, env)
  where 40: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
  where 41: force(code)
  where 42: doWithOneRestart(return(expr), restart)
  where 43: withOneRestart(expr, restarts[[1L]])
  where 44: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 45: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter, 
      {
          reporter$start_file(basename(path))
          lister$start_file(basename(path))
          source_file(path, new.env(parent = env), chdir = TRUE, 
              wrap = wrap)
          reporter$.end_context()
          reporter$end_file()
      })
  where 46: FUN(X[[i]], ...)
  where 47: lapply(paths, test_file, env = env, reporter = current_reporter, 
      start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
  where 48: force(code)
  where 49: doWithOneRestart(return(expr), restart)
  where 50: withOneRestart(expr, restarts[[1L]])
  where 51: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 52: with_reporter(reporter = current_reporter, results <- lapply(paths, 
      test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE, 
      load_helpers = FALSE, wrap = wrap))
  where 53: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 54: test_dir(path = test_path, reporter = reporter, env = env, filter = filter, 
      ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, 
      wrap = wrap)
  where 55: test_package_dir(package = package, test_path = test_path, filter = filter, 
      reporter = reporter, ..., stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 56: test_check("SPOT")
  
   --- value of length: 2 type: logical ---
  [1] FALSE FALSE
   --- function from context --- 
  function (x, AX, Ay, optimizeP = FALSE, useLambda = TRUE) 
  {
      nx <- nrow(AX)
      theta <- 10^x[1:nx]
      if (optimizeP) {
          AX <- abs(AX)^(x[(nx + 1):(2 * nx)])
      }
      lambda <- 0
      if (useLambda) 
          lambda <- 10^x[length(x)]
      if (any(theta == 0) || any(is.infinite(c(theta, lambda)))) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, ssq = NA))
      }
      n <- dim(Ay)[1]
      Psi <- exp(-matrix(colSums(theta * AX), n, n))
      if (useLambda) 
          Psi <- Psi + diag(lambda, n)
      if (any(is.infinite(Psi))) {
          penalty <- 10000
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      kap <- rcond(Psi)
      if (is.na(kap)) 
          kap <- 0
      if (kap < 1e-10) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA, a = NA, U = NA, isIndefinite = TRUE))
      }
      cholPsi <- try(chol(Psi), TRUE)
      if (class(cholPsi) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      LnDetPsi <- 2 * sum(log(abs(diag(cholPsi))))
      Psinv <- try(chol2inv(cholPsi), TRUE)
      if (class(Psinv) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      psisum <- sum(Psinv)
      if (psisum == 0) {
          psisum <- as.numeric(rep(1, n) %*% Psinv %*% rep(1, n))
          if (psisum == 0) {
              return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
                  mu = NA, SSQ = NA))
          }
      }
      mu <- sum(Psinv %*% Ay)/psisum
      if (is.infinite(mu) | is.na(mu)) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      yonemu <- Ay - mu
      SigmaSqr <- (t(yonemu) %*% Psinv %*% yonemu)/n
      if (SigmaSqr < 0) {
          return(list(NegLnLike = 10000 - SigmaSqr, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      NegLnLike <- n * log(SigmaSqr) + LnDetPsi
      if (is.na(NegLnLike) | is.infinite(NegLnLike)) 
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      list(NegLnLike = NegLnLike, Psi = Psi, Psinv = Psinv, mu = mu, 
          yonemu = yonemu, ssq = SigmaSqr)
  }
  <bytecode: 0xd0672c8>
  <environment: namespace:SPOT>
   --- function search by body ---
  Function krigingLikelihood in namespace SPOT has this body.
   ----------- END OF FAILURE REPORT -------------- 
  -- 4. Failure: Wrong Control Settings are blocked (@test.initialInputCheck.Contr
  `{ ... }` threw an error.
  Message: the condition has length > 1
  Class:   simpleError/error/condition
  Backtrace:
    1. testthat::expect_error(...)
    6. SPOT::spot(...)
    7. SPOT::spotLoop(...)
    8. control$model(x = x, y = y, control = control$modelControl)
    9. fit$algTheta(...)
   10. stats::optim(...)
   12. SPOT:::fn(par, ...)
   13. SPOT:::fun(matrix(x, 1), ...)
   14. base::apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
   15. SPOT:::FUN(newX[, i], ...)
   16. SPOT::krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  
   ----------- FAILURE REPORT -------------- 
   --- failure: the condition has length > 1 ---
   --- srcref --- 
  : 
   --- package (from environment) --- 
  SPOT
   --- call from context --- 
  krigingLikelihood(x, fX, fy, optimizeP, useLambda)
   --- call from argument --- 
  if (class(cholPsi) == "try-error") {
      penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
      return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, mu = NA, 
          SSQ = NA))
  }
   --- R stacktrace ---
  where 1: krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  where 2: FUN(newX[, i], ...)
  where 3: apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
  where 4: fun(matrix(x, 1), ...)
  where 5: fn(par, ...)
  where 6: (function (par) 
  fn(par, ...))(c(0.05, 0.05, 0))
  where 7: optim(par = x, fn = fn, lower = lower, upper = upper, control = control, 
      method = "L-BFGS-B", ...)
  where 8: fit$algTheta(x = x0, fun = function(x, fX, fy, optimizeP, useLambda) {
      if (!is.matrix(x)) {
          fitFun(x, fX, fy, optimizeP, useLambda)
      }
      else {
          apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
      }
  }, lower = LowerTheta, upper = UpperTheta, control = opts, fX = A, 
      fy = fit$y, optimizeP = fit$optimizeP, useLambda = fit$useLambda)
  where 9: control$model(x = x, y = y, control = control$modelControl)
  where 10: spotLoop(x = x, y = y, fun = fun, lower = lower, upper = upper, 
      control = control, ...)
  where 11 at testthat/test.initialInputCheck.ControlList.R#68: spot(NULL, fun = funSphere, lower = c(0, 0), upper = c(5, 5), 
      control = list(types = c("numeric", "num")))
  where 12: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
  where 13: withCallingHandlers(code, warning = function(condition) {
      out$push(condition)
      maybe_restart("muffleWarning")
  })
  where 14: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)), 
      ...)
  where 15: quasi_capture(enquo(object), label, capture_warnings)
  where 16 at testthat/test.initialInputCheck.ControlList.R#67: expect_warning({
      spot(NULL, fun = funSphere, lower = c(0, 0), upper = c(5, 
          5), control = list(types = c("numeric", "num")))
  }, regexp = "SPOT Configuration Warning:")
  where 17: eval(code, test_env)
  where 18: eval(code, test_env)
  where 19: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 20: doTryCatch(return(expr), name, parentenv, handler)
  where 21: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 22: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 23: doTryCatch(return(expr), name, parentenv, handler)
  where 24: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 25: tryCatchList(expr, classes, parentenv, handlers)
  where 26: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 27: test_code(desc, code, env = parent.frame())
  where 28 at testthat/test.initialInputCheck.ControlList.R#59: test_that("SPOT throws an error if control$types is configured wrong", 
      {
          expect_error({
              spot(NULL, fun = funSphere, lower = c(0, 0), upper = c(5, 
                  5), control = list(types = c("numeric")))
          }, regexp = "SPOT Configuration Error:")
          expect_error({
              spot(NULL, fun = funSphere, lower = c(0, 0), upper = c(5, 
                  5), control = list(types = c("numeric", "numeric", 
                  "numeric")))
          }, regexp = "SPOT Configuration Error:")
          expect_warning({
              spot(NULL, fun = funSphere, lower = c(0, 0), upper = c(5, 
                  5), control = list(types = c("numeric", "num")))
          }, regexp = "SPOT Configuration Warning:")
          expect_warning({
              spot(NULL, fun = funSphere, lower = c(0, 0), upper = c(5, 
                  5), control = list(types = c("float", "numeric")))
          }, regexp = "SPOT Configuration Warning:")
          expect_warning({
              spot(NULL, fun = funSphere, lower = c(0, 0), upper = c(5, 
                  5), control = list(types = c("numeric", 88)))
          }, regexp = "SPOT Configuration Warning:")
      })
  where 29: eval(code, test_env)
  where 30: eval(code, test_env)
  where 31: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 32: doTryCatch(return(expr), name, parentenv, handler)
  where 33: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 34: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 35: doTryCatch(return(expr), name, parentenv, handler)
  where 36: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 37: tryCatchList(expr, classes, parentenv, handlers)
  where 38: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 39: test_code(NULL, exprs, env)
  where 40: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
  where 41: force(code)
  where 42: doWithOneRestart(return(expr), restart)
  where 43: withOneRestart(expr, restarts[[1L]])
  where 44: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 45: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter, 
      {
          reporter$start_file(basename(path))
          lister$start_file(basename(path))
          source_file(path, new.env(parent = env), chdir = TRUE, 
              wrap = wrap)
          reporter$.end_context()
          reporter$end_file()
      })
  where 46: FUN(X[[i]], ...)
  where 47: lapply(paths, test_file, env = env, reporter = current_reporter, 
      start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
  where 48: force(code)
  where 49: doWithOneRestart(return(expr), restart)
  where 50: withOneRestart(expr, restarts[[1L]])
  where 51: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 52: with_reporter(reporter = current_reporter, results <- lapply(paths, 
      test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE, 
      load_helpers = FALSE, wrap = wrap))
  where 53: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 54: test_dir(path = test_path, reporter = reporter, env = env, filter = filter, 
      ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, 
      wrap = wrap)
  where 55: test_package_dir(package = package, test_path = test_path, filter = filter, 
      reporter = reporter, ..., stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 56: test_check("SPOT")
  
   --- value of length: 2 type: logical ---
  [1] FALSE FALSE
   --- function from context --- 
  function (x, AX, Ay, optimizeP = FALSE, useLambda = TRUE) 
  {
      nx <- nrow(AX)
      theta <- 10^x[1:nx]
      if (optimizeP) {
          AX <- abs(AX)^(x[(nx + 1):(2 * nx)])
      }
      lambda <- 0
      if (useLambda) 
          lambda <- 10^x[length(x)]
      if (any(theta == 0) || any(is.infinite(c(theta, lambda)))) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, ssq = NA))
      }
      n <- dim(Ay)[1]
      Psi <- exp(-matrix(colSums(theta * AX), n, n))
      if (useLambda) 
          Psi <- Psi + diag(lambda, n)
      if (any(is.infinite(Psi))) {
          penalty <- 10000
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      kap <- rcond(Psi)
      if (is.na(kap)) 
          kap <- 0
      if (kap < 1e-10) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA, a = NA, U = NA, isIndefinite = TRUE))
      }
      cholPsi <- try(chol(Psi), TRUE)
      if (class(cholPsi) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      LnDetPsi <- 2 * sum(log(abs(diag(cholPsi))))
      Psinv <- try(chol2inv(cholPsi), TRUE)
      if (class(Psinv) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      psisum <- sum(Psinv)
      if (psisum == 0) {
          psisum <- as.numeric(rep(1, n) %*% Psinv %*% rep(1, n))
          if (psisum == 0) {
              return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
                  mu = NA, SSQ = NA))
          }
      }
      mu <- sum(Psinv %*% Ay)/psisum
      if (is.infinite(mu) | is.na(mu)) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      yonemu <- Ay - mu
      SigmaSqr <- (t(yonemu) %*% Psinv %*% yonemu)/n
      if (SigmaSqr < 0) {
          return(list(NegLnLike = 10000 - SigmaSqr, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      NegLnLike <- n * log(SigmaSqr) + LnDetPsi
      if (is.na(NegLnLike) | is.infinite(NegLnLike)) 
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      list(NegLnLike = NegLnLike, Psi = Psi, Psinv = Psinv, mu = mu, 
          yonemu = yonemu, ssq = SigmaSqr)
  }
  <bytecode: 0xd0672c8>
  <environment: namespace:SPOT>
   --- function search by body ---
  Function krigingLikelihood in namespace SPOT has this body.
   ----------- END OF FAILURE REPORT -------------- 
  -- 5. Error: SPOT throws an error if control$types is configured wrong (@test.in
  the condition has length > 1
  Backtrace:
    1. testthat::expect_warning(...)
    6. SPOT::spot(...)
    7. SPOT::spotLoop(...)
    8. control$model(x = x, y = y, control = control$modelControl)
    9. fit$algTheta(...)
   10. stats::optim(...)
   12. SPOT:::fn(par, ...)
   13. SPOT:::fun(matrix(x, 1), ...)
   14. base::apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
   15. SPOT:::FUN(newX[, i], ...)
   16. SPOT::krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  
   ----------- FAILURE REPORT -------------- 
   --- failure: the condition has length > 1 ---
   --- srcref --- 
  : 
   --- package (from environment) --- 
  SPOT
   --- call from context --- 
  krigingLikelihood(x, fX, fy, optimizeP, useLambda)
   --- call from argument --- 
  if (class(cholPsi) == "try-error") {
      penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
      return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, mu = NA, 
          SSQ = NA))
  }
   --- R stacktrace ---
  where 1: krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  where 2: FUN(newX[, i], ...)
  where 3: apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
  where 4: fun(matrix(x, 1), ...)
  where 5: fn(par, ...)
  where 6: (function (par) 
  fn(par, ...))(c(0.0466666666666667, 0.0466666666666667, 0.0466666666666667, 
  0))
  where 7: optim(par = x, fn = fn, lower = lower, upper = upper, control = control, 
      method = "L-BFGS-B", ...)
  where 8: fit$algTheta(x = x0, fun = function(x, fX, fy, optimizeP, useLambda) {
      if (!is.matrix(x)) {
          fitFun(x, fX, fy, optimizeP, useLambda)
      }
      else {
          apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
      }
  }, lower = LowerTheta, upper = UpperTheta, control = opts, fX = A, 
      fy = fit$y, optimizeP = fit$optimizeP, useLambda = fit$useLambda)
  where 9: control$model(x = x, y = y, control = control$modelControl)
  where 10: spotLoop(x = x, y = y, fun = fun, lower = lower, upper = upper, 
      control = control, ...)
  where 11 at testthat/test.initialInputCheck.ControlList.R#96: spot(x = xCorrect, fun = funSphere, lower = lCorrect, upper = uCorrect, 
      control = controlLists[[i]])
  where 12: eval_bare(expr, quo_get_env(quo))
  where 13: quasi_label(enquo(object), label, arg = "object")
  where 14 at testthat/test.initialInputCheck.ControlList.R#95: expect_equal({
      length(spot(x = xCorrect, fun = funSphere, lower = lCorrect, 
          upper = uCorrect, control = controlLists[[i]])$y)
  }, expectedLengths[i])
  where 15: eval(code, test_env)
  where 16: eval(code, test_env)
  where 17: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 18: doTryCatch(return(expr), name, parentenv, handler)
  where 19: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 20: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 21: doTryCatch(return(expr), name, parentenv, handler)
  where 22: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 23: tryCatchList(expr, classes, parentenv, handlers)
  where 24: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 25: test_code(desc, code, env = parent.frame())
  where 26 at testthat/test.initialInputCheck.ControlList.R#78: test_that("SPOT uses the correct amount of function evaluations", 
      {
          xCorrect <- matrix(1:12, ncol = 3)
          lCorrect <- c(-5, -5, -5)
          uCorrect <- c(15, 15, 15)
          controlLists <- list(NULL, list(), list(funEvals = 23), 
              list(funEvals = 15, designControl = list(size = 10)), 
              list(funEvals = 15), list(funEvals = 9, designControl = list(size = 4)), 
              list(funEvals = 6, designControl = list(size = 1)))
          expectedLengths <- c(20, 20, 23, 15, 15, 9, 6)
          for (i in seq_along(controlLists)) {
              expect_equal({
                  length(spot(x = xCorrect, fun = funSphere, lower = lCorrect, 
                    upper = uCorrect, control = controlLists[[i]])$y)
              }, expectedLengths[i])
          }
      })
  where 27: eval(code, test_env)
  where 28: eval(code, test_env)
  where 29: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 30: doTryCatch(return(expr), name, parentenv, handler)
  where 31: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 32: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 33: doTryCatch(return(expr), name, parentenv, handler)
  where 34: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 35: tryCatchList(expr, classes, parentenv, handlers)
  where 36: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 37: test_code(NULL, exprs, env)
  where 38: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
  where 39: force(code)
  where 40: doWithOneRestart(return(expr), restart)
  where 41: withOneRestart(expr, restarts[[1L]])
  where 42: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 43: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter, 
      {
          reporter$start_file(basename(path))
          lister$start_file(basename(path))
          source_file(path, new.env(parent = env), chdir = TRUE, 
              wrap = wrap)
          reporter$.end_context()
          reporter$end_file()
      })
  where 44: FUN(X[[i]], ...)
  where 45: lapply(paths, test_file, env = env, reporter = current_reporter, 
      start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
  where 46: force(code)
  where 47: doWithOneRestart(return(expr), restart)
  where 48: withOneRestart(expr, restarts[[1L]])
  where 49: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 50: with_reporter(reporter = current_reporter, results <- lapply(paths, 
      test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE, 
      load_helpers = FALSE, wrap = wrap))
  where 51: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 52: test_dir(path = test_path, reporter = reporter, env = env, filter = filter, 
      ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, 
      wrap = wrap)
  where 53: test_package_dir(package = package, test_path = test_path, filter = filter, 
      reporter = reporter, ..., stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 54: test_check("SPOT")
  
   --- value of length: 2 type: logical ---
  [1] FALSE FALSE
   --- function from context --- 
  function (x, AX, Ay, optimizeP = FALSE, useLambda = TRUE) 
  {
      nx <- nrow(AX)
      theta <- 10^x[1:nx]
      if (optimizeP) {
          AX <- abs(AX)^(x[(nx + 1):(2 * nx)])
      }
      lambda <- 0
      if (useLambda) 
          lambda <- 10^x[length(x)]
      if (any(theta == 0) || any(is.infinite(c(theta, lambda)))) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, ssq = NA))
      }
      n <- dim(Ay)[1]
      Psi <- exp(-matrix(colSums(theta * AX), n, n))
      if (useLambda) 
          Psi <- Psi + diag(lambda, n)
      if (any(is.infinite(Psi))) {
          penalty <- 10000
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      kap <- rcond(Psi)
      if (is.na(kap)) 
          kap <- 0
      if (kap < 1e-10) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA, a = NA, U = NA, isIndefinite = TRUE))
      }
      cholPsi <- try(chol(Psi), TRUE)
      if (class(cholPsi) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      LnDetPsi <- 2 * sum(log(abs(diag(cholPsi))))
      Psinv <- try(chol2inv(cholPsi), TRUE)
      if (class(Psinv) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      psisum <- sum(Psinv)
      if (psisum == 0) {
          psisum <- as.numeric(rep(1, n) %*% Psinv %*% rep(1, n))
          if (psisum == 0) {
              return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
                  mu = NA, SSQ = NA))
          }
      }
      mu <- sum(Psinv %*% Ay)/psisum
      if (is.infinite(mu) | is.na(mu)) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      yonemu <- Ay - mu
      SigmaSqr <- (t(yonemu) %*% Psinv %*% yonemu)/n
      if (SigmaSqr < 0) {
          return(list(NegLnLike = 10000 - SigmaSqr, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      NegLnLike <- n * log(SigmaSqr) + LnDetPsi
      if (is.na(NegLnLike) | is.infinite(NegLnLike)) 
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      list(NegLnLike = NegLnLike, Psi = Psi, Psinv = Psinv, mu = mu, 
          yonemu = yonemu, ssq = SigmaSqr)
  }
  <bytecode: 0xd0672c8>
  <environment: namespace:SPOT>
   --- function search by body ---
  Function krigingLikelihood in namespace SPOT has this body.
   ----------- END OF FAILURE REPORT -------------- 
  -- 6. Error: SPOT uses the correct amount of function evaluations (@test.initial
  the condition has length > 1
  Backtrace:
    1. testthat::expect_equal(...)
    4. SPOT::spot(...)
    5. SPOT::spotLoop(...)
    6. control$model(x = x, y = y, control = control$modelControl)
    7. fit$algTheta(...)
    8. stats::optim(...)
   10. SPOT:::fn(par, ...)
   11. SPOT:::fun(matrix(x, 1), ...)
   12. base::apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
   13. SPOT:::FUN(newX[, i], ...)
   14. SPOT::krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  
   ----------- FAILURE REPORT -------------- 
   --- failure: the condition has length > 1 ---
   --- srcref --- 
  : 
   --- package (from environment) --- 
  SPOT
   --- call from context --- 
  krigingLikelihood(x, fX, fy, optimizeP, useLambda)
   --- call from argument --- 
  if (class(cholPsi) == "try-error") {
      penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
      return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, mu = NA, 
          SSQ = NA))
  }
   --- R stacktrace ---
  where 1: krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  where 2: FUN(newX[, i], ...)
  where 3: apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
  where 4: fun(matrix(x, 1), ...)
  where 5: fn(par, ...)
  where 6: (function (par) 
  fn(par, ...))(c(0.0466666666666667, 0.0466666666666667, 0.0466666666666667, 
  0))
  where 7: optim(par = x, fn = fn, lower = lower, upper = upper, control = control, 
      method = "L-BFGS-B", ...)
  where 8: fit$algTheta(x = x0, fun = function(x, fX, fy, optimizeP, useLambda) {
      if (!is.matrix(x)) {
          fitFun(x, fX, fy, optimizeP, useLambda)
      }
      else {
          apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
      }
  }, lower = LowerTheta, upper = UpperTheta, control = opts, fX = A, 
      fy = fit$y, optimizeP = fit$optimizeP, useLambda = fit$useLambda)
  where 9: control$model(x = x, y = y, control = control$modelControl)
  where 10: spotLoop(x = x, y = y, fun = fun, lower = lower, upper = upper, 
      control = control, ...)
  where 11 at testthat/test.initialInputCheck.xLowerUpper.R#31: spot(x = xCorrect, fun = funSphere, lower = lWrongs[[l]], upper = uCorrect)
  where 12: eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
  where 13: withCallingHandlers(code, warning = function(condition) {
      out$push(condition)
      maybe_restart("muffleWarning")
  })
  where 14: .capture(act$val <- eval_bare(quo_get_expr(.quo), quo_get_env(.quo)), 
      ...)
  where 15: quasi_capture(enquo(object), label, capture_warnings)
  where 16 at testthat/test.initialInputCheck.xLowerUpper.R#30: expect_warning({
      spot(x = xCorrect, fun = funSphere, lower = lWrongs[[l]], 
          upper = uCorrect)
  }, regexp = "SPOT Configuration Warning:")
  where 17: eval(code, test_env)
  where 18: eval(code, test_env)
  where 19: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 20: doTryCatch(return(expr), name, parentenv, handler)
  where 21: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 22: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 23: doTryCatch(return(expr), name, parentenv, handler)
  where 24: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 25: tryCatchList(expr, classes, parentenv, handlers)
  where 26: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 27: test_code(desc, code, env = parent.frame())
  where 28 at testthat/test.initialInputCheck.xLowerUpper.R#4: test_that("Check conditions with wrong input dimensions", {
      xCorrect <- matrix(1:12, ncol = 3)
      lCorrect <- c(-5, -5, -5)
      uCorrect <- c(15, 15, 15)
      warning <- 1
      error <- 2
      lWrongs <- list(c(-5, -5), c(20, 20, 20), c(20, 20), c(-5, 
          -5, -5, -5))
      lWrongs.expected <- c(error, warning, error, error)
      uWrongs <- list(c(15, 15), c(-6, -6, -6), c(-5, -5), c(15, 
          15, 15, 15))
      uWrongs.expected <- c(error, warning, error, error)
      xWrongs <- list(matrix(1:12, ncol = 2), matrix(c(1:11, NA), 
          ncol = 3), matrix(1:12, ncol = 4))
      xWrongs.expected <- c(error, error, error)
      for (l in seq_along(lWrongs)) {
          expected <- lWrongs.expected[l]
          if (expected == warning) {
              expect_warning({
                  spot(x = xCorrect, fun = funSphere, lower = lWrongs[[l]], 
                    upper = uCorrect)
              }, regexp = "SPOT Configuration Warning:")
          }
          else {
              expect_error({
                  spot(x = xCorrect, fun = funSphere, lower = lWrongs[[l]], 
                    upper = uCorrect)
              }, regexp = "SPOT Configuration Error:")
          }
      }
      for (u in seq_along(uWrongs)) {
          expected <- uWrongs.expected[u]
          if (expected == warning) {
              expect_warning({
                  spot(x = xCorrect, fun = funSphere, lower = lCorrect, 
                    upper = uWrongs[[u]])
              }, regexp = "SPOT Configuration Warning:")
          }
          else {
              expect_error({
                  spot(x = xCorrect, fun = funSphere, lower = lCorrect, 
                    upper = uWrongs[[u]])
              }, regexp = "SPOT Configuration Error:")
          }
      }
      for (l in seq_along(lWrongs)) {
          for (u in seq_along(uWrongs)) {
              expected <- max(lWrongs.expected[[l]], uWrongs.expected[[u]])
              if (expected == warning) {
                  expect_warning({
                    spot(x = xCorrect, fun = funSphere, lower = lWrongs[[l]], 
                      upper = uWrongs[[u]])
                  })
              }
              else {
                  expect_error({
                    spot(x = xCorrect, fun = funSphere, lower = lWrongs[[l]], 
                      upper = uWrongs[[u]])
                  }, regexp = "SPOT Configuration Error:")
              }
          }
      }
      for (xW in seq_along(xWrongs)) {
          expected <- xWrongs.expected[[xW]]
          if (expected == warning) {
              expect_warning({
                  spot(x = xWrongs[[xW]], fun = funSphere, lower = lCorrect, 
                    upper = uCorrect)
              }, regexp = "SPOT Configuration Warning:")
          }
          else {
              expect_error({
                  spot(x = xWrongs[[xW]], fun = funSphere, lower = lCorrect, 
                    upper = uCorrect)
              }, regexp = "SPOT Configuration Error:")
          }
      }
      expect_error({
          spot(x = xCorrect, fun = funSphere, lower = c(5, 5, 5), 
              upper = c(5, 5, 5))
      }, regexp = "SPOT Configuration Error:")
      expect_error({
          spot(x = xCorrect, fun = funSphere, lower = c(1, 8, 2.6), 
              upper = c(11, 8, 17.4))
      }, regexp = "SPOT Configuration Error:")
      expect_error({
          spot(x = xCorrect, fun = funSphere, lower = c(12, 1, 
              2), upper = c(12, 4, 5))
      }, regexp = "SPOT Configuration Error:")
      expect_error({
          spot(x = xCorrect, fun = funSphere, lower = c(5, NA, 
              5), upper = c(5, 5, 5))
      }, regexp = "SPOT Configuration Error:")
      expect_error({
          spot(x = xCorrect, fun = funSphere, lower = c(5, 5, 5), 
              upper = c(NA, NA, NA))
      }, regexp = "SPOT Configuration Error:")
      expect_error({
          spot(x = xCorrect, fun = funSphere, lower = c(5, "someString", 
              5), upper = c(5, 5, 5))
      }, regexp = "SPOT Configuration Error:")
      expect_error({
          spot(x = xCorrect, fun = funSphere, lower = c(5, 5, 5), 
              upper = c("Cause", "an", "Error"))
      }, regexp = "SPOT Configuration Error:")
  })
  where 29: eval(code, test_env)
  where 30: eval(code, test_env)
  where 31: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 32: doTryCatch(return(expr), name, parentenv, handler)
  where 33: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 34: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 35: doTryCatch(return(expr), name, parentenv, handler)
  where 36: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 37: tryCatchList(expr, classes, parentenv, handlers)
  where 38: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 39: test_code(NULL, exprs, env)
  where 40: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
  where 41: force(code)
  where 42: doWithOneRestart(return(expr), restart)
  where 43: withOneRestart(expr, restarts[[1L]])
  where 44: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 45: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter, 
      {
          reporter$start_file(basename(path))
          lister$start_file(basename(path))
          source_file(path, new.env(parent = env), chdir = TRUE, 
              wrap = wrap)
          reporter$.end_context()
          reporter$end_file()
      })
  where 46: FUN(X[[i]], ...)
  where 47: lapply(paths, test_file, env = env, reporter = current_reporter, 
      start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
  where 48: force(code)
  where 49: doWithOneRestart(return(expr), restart)
  where 50: withOneRestart(expr, restarts[[1L]])
  where 51: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 52: with_reporter(reporter = current_reporter, results <- lapply(paths, 
      test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE, 
      load_helpers = FALSE, wrap = wrap))
  where 53: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 54: test_dir(path = test_path, reporter = reporter, env = env, filter = filter, 
      ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, 
      wrap = wrap)
  where 55: test_package_dir(package = package, test_path = test_path, filter = filter, 
      reporter = reporter, ..., stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 56: test_check("SPOT")
  
   --- value of length: 2 type: logical ---
  [1] FALSE FALSE
   --- function from context --- 
  function (x, AX, Ay, optimizeP = FALSE, useLambda = TRUE) 
  {
      nx <- nrow(AX)
      theta <- 10^x[1:nx]
      if (optimizeP) {
          AX <- abs(AX)^(x[(nx + 1):(2 * nx)])
      }
      lambda <- 0
      if (useLambda) 
          lambda <- 10^x[length(x)]
      if (any(theta == 0) || any(is.infinite(c(theta, lambda)))) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, ssq = NA))
      }
      n <- dim(Ay)[1]
      Psi <- exp(-matrix(colSums(theta * AX), n, n))
      if (useLambda) 
          Psi <- Psi + diag(lambda, n)
      if (any(is.infinite(Psi))) {
          penalty <- 10000
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      kap <- rcond(Psi)
      if (is.na(kap)) 
          kap <- 0
      if (kap < 1e-10) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA, a = NA, U = NA, isIndefinite = TRUE))
      }
      cholPsi <- try(chol(Psi), TRUE)
      if (class(cholPsi) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      LnDetPsi <- 2 * sum(log(abs(diag(cholPsi))))
      Psinv <- try(chol2inv(cholPsi), TRUE)
      if (class(Psinv) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      psisum <- sum(Psinv)
      if (psisum == 0) {
          psisum <- as.numeric(rep(1, n) %*% Psinv %*% rep(1, n))
          if (psisum == 0) {
              return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
                  mu = NA, SSQ = NA))
          }
      }
      mu <- sum(Psinv %*% Ay)/psisum
      if (is.infinite(mu) | is.na(mu)) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      yonemu <- Ay - mu
      SigmaSqr <- (t(yonemu) %*% Psinv %*% yonemu)/n
      if (SigmaSqr < 0) {
          return(list(NegLnLike = 10000 - SigmaSqr, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      NegLnLike <- n * log(SigmaSqr) + LnDetPsi
      if (is.na(NegLnLike) | is.infinite(NegLnLike)) 
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      list(NegLnLike = NegLnLike, Psi = Psi, Psinv = Psinv, mu = mu, 
          yonemu = yonemu, ssq = SigmaSqr)
  }
  <bytecode: 0xd0672c8>
  <environment: namespace:SPOT>
   --- function search by body ---
  Function krigingLikelihood in namespace SPOT has this body.
   ----------- END OF FAILURE REPORT -------------- 
  -- 7. Error: Check conditions with wrong input dimensions (@test.initialInputChe
  the condition has length > 1
  Backtrace:
    1. testthat::expect_warning(...)
    6. SPOT::spot(...)
    7. SPOT::spotLoop(...)
    8. control$model(x = x, y = y, control = control$modelControl)
    9. fit$algTheta(...)
   10. stats::optim(...)
   12. SPOT:::fn(par, ...)
   13. SPOT:::fun(matrix(x, 1), ...)
   14. base::apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
   15. SPOT:::FUN(newX[, i], ...)
   16. SPOT::krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  
   ----------- FAILURE REPORT -------------- 
   --- failure: the condition has length > 1 ---
   --- srcref --- 
  : 
   --- package (from environment) --- 
  SPOT
   --- call from context --- 
  krigingLikelihood(x, fX, fy, optimizeP, useLambda)
   --- call from argument --- 
  if (class(cholPsi) == "try-error") {
      penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
      return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, mu = NA, 
          SSQ = NA))
  }
   --- R stacktrace ---
  where 1: krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  where 2: FUN(newX[, i], ...)
  where 3: apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
  where 4: fun(matrix(x, 1), ...)
  where 5: fn(par, ...)
  where 6: (function (par) 
  fn(par, ...))(c(0.05, 0.05, 0))
  where 7: optim(par = x, fn = fn, lower = lower, upper = upper, control = control, 
      method = "L-BFGS-B", ...)
  where 8: fit$algTheta(x = x0, fun = function(x, fX, fy, optimizeP, useLambda) {
      if (!is.matrix(x)) {
          fitFun(x, fX, fy, optimizeP, useLambda)
      }
      else {
          apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
      }
  }, lower = LowerTheta, upper = UpperTheta, control = opts, fX = A, 
      fy = fit$y, optimizeP = fit$optimizeP, useLambda = fit$useLambda)
  where 9: control$model(x = x, y = y, control = control$modelControl)
  where 10: spotLoop(x = x, y = y, fun = fun, lower = lower, upper = upper, 
      control = control, ...)
  where 11 at testthat/test.main.R#5: spot(, funSphere, c(-2, -3), c(1, 2))
  where 12: eval(code, test_env)
  where 13: eval(code, test_env)
  where 14: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 15: doTryCatch(return(expr), name, parentenv, handler)
  where 16: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 17: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 18: doTryCatch(return(expr), name, parentenv, handler)
  where 19: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 20: tryCatchList(expr, classes, parentenv, handlers)
  where 21: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 22: test_code(desc, code, env = parent.frame())
  where 23 at testthat/test.main.R#4: test_that("check that spot function works without problems", 
      {
          res <- spot(, funSphere, c(-2, -3), c(1, 2))
          expect_equal(c(nrow(res$x), length(res$y)), c(20, 20))
          res <- spot(, funSphere, c(-2, -3), c(1, 2), control = list(model = buildLM))
          expect_equal(c(nrow(res$x), length(res$y)), c(20, 20))
          res <- spot(, funSphere, c(-2, -3), c(1, 2), control = list(funEvals = 11, 
              model = buildKrigingDACE))
          expect_equal(c(nrow(res$x), length(res$y)), c(11, 11))
          res <- spot(, funSphere, c(-2, -3), c(1, 2), control = list(optimizer = optimLBFGSB))
          expect_equal(c(nrow(res$x), length(res$y)), c(20, 20))
          res <- spot(, funSphere, c(-2, -3), c(1, 2), control = list(design = designUniformRandom))
          expect_equal(c(nrow(res$x), length(res$y)), c(20, 20))
          res <- spot(, funSphere, c(-2, -3), c(1, 2), control = list(modelControl = list(target = "ei")))
          expect_equal(c(nrow(res$x), length(res$y)), c(20, 20))
      })
  where 24: eval(code, test_env)
  where 25: eval(code, test_env)
  where 26: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 27: doTryCatch(return(expr), name, parentenv, handler)
  where 28: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 29: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 30: doTryCatch(return(expr), name, parentenv, handler)
  where 31: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 32: tryCatchList(expr, classes, parentenv, handlers)
  where 33: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 34: test_code(NULL, exprs, env)
  where 35: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
  where 36: force(code)
  where 37: doWithOneRestart(return(expr), restart)
  where 38: withOneRestart(expr, restarts[[1L]])
  where 39: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 40: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter, 
      {
          reporter$start_file(basename(path))
          lister$start_file(basename(path))
          source_file(path, new.env(parent = env), chdir = TRUE, 
              wrap = wrap)
          reporter$.end_context()
          reporter$end_file()
      })
  where 41: FUN(X[[i]], ...)
  where 42: lapply(paths, test_file, env = env, reporter = current_reporter, 
      start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
  where 43: force(code)
  where 44: doWithOneRestart(return(expr), restart)
  where 45: withOneRestart(expr, restarts[[1L]])
  where 46: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 47: with_reporter(reporter = current_reporter, results <- lapply(paths, 
      test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE, 
      load_helpers = FALSE, wrap = wrap))
  where 48: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 49: test_dir(path = test_path, reporter = reporter, env = env, filter = filter, 
      ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, 
      wrap = wrap)
  where 50: test_package_dir(package = package, test_path = test_path, filter = filter, 
      reporter = reporter, ..., stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 51: test_check("SPOT")
  
   --- value of length: 2 type: logical ---
  [1] FALSE FALSE
   --- function from context --- 
  function (x, AX, Ay, optimizeP = FALSE, useLambda = TRUE) 
  {
      nx <- nrow(AX)
      theta <- 10^x[1:nx]
      if (optimizeP) {
          AX <- abs(AX)^(x[(nx + 1):(2 * nx)])
      }
      lambda <- 0
      if (useLambda) 
          lambda <- 10^x[length(x)]
      if (any(theta == 0) || any(is.infinite(c(theta, lambda)))) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, ssq = NA))
      }
      n <- dim(Ay)[1]
      Psi <- exp(-matrix(colSums(theta * AX), n, n))
      if (useLambda) 
          Psi <- Psi + diag(lambda, n)
      if (any(is.infinite(Psi))) {
          penalty <- 10000
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      kap <- rcond(Psi)
      if (is.na(kap)) 
          kap <- 0
      if (kap < 1e-10) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA, a = NA, U = NA, isIndefinite = TRUE))
      }
      cholPsi <- try(chol(Psi), TRUE)
      if (class(cholPsi) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      LnDetPsi <- 2 * sum(log(abs(diag(cholPsi))))
      Psinv <- try(chol2inv(cholPsi), TRUE)
      if (class(Psinv) == "try-error") {
          penalty <- 10000 - min(eigen(Psi, symmetric = TRUE, only.values = TRUE)$values)
          return(list(NegLnLike = penalty, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      psisum <- sum(Psinv)
      if (psisum == 0) {
          psisum <- as.numeric(rep(1, n) %*% Psinv %*% rep(1, n))
          if (psisum == 0) {
              return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
                  mu = NA, SSQ = NA))
          }
      }
      mu <- sum(Psinv %*% Ay)/psisum
      if (is.infinite(mu) | is.na(mu)) {
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      yonemu <- Ay - mu
      SigmaSqr <- (t(yonemu) %*% Psinv %*% yonemu)/n
      if (SigmaSqr < 0) {
          return(list(NegLnLike = 10000 - SigmaSqr, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      }
      NegLnLike <- n * log(SigmaSqr) + LnDetPsi
      if (is.na(NegLnLike) | is.infinite(NegLnLike)) 
          return(list(NegLnLike = 10000, Psi = NA, Psinv = NA, 
              mu = NA, SSQ = NA))
      list(NegLnLike = NegLnLike, Psi = Psi, Psinv = Psinv, mu = mu, 
          yonemu = yonemu, ssq = SigmaSqr)
  }
  <bytecode: 0xd0672c8>
  <environment: namespace:SPOT>
   --- function search by body ---
  Function krigingLikelihood in namespace SPOT has this body.
   ----------- END OF FAILURE REPORT -------------- 
  -- 8. Error: check that spot function works without problems (@test.main.R#5)  -
  the condition has length > 1
  Backtrace:
    1. SPOT::spot(, funSphere, c(-2, -3), c(1, 2))
    2. SPOT::spotLoop(...)
    3. control$model(x = x, y = y, control = control$modelControl)
    4. fit$algTheta(...)
    5. stats::optim(...)
    7. SPOT:::fn(par, ...)
    8. SPOT:::fun(matrix(x, 1), ...)
    9. base::apply(x, 1, fitFun, fX, fy, optimizeP, useLambda)
   10. SPOT:::FUN(newX[, i], ...)
   11. SPOT::krigingLikelihood(x, fX, fy, optimizeP, useLambda)
  
  == testthat results  ===========================================================
  [ OK: 28 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 8 ]
  1. Error: check SPOT+NLOPTR with inequality constraints but with default design (@test.inequalityConstraint.R#32) 
  2. Error: check SPOT+NLOPTR with inequality constraints also in design (@test.inequalityConstraint.R#52) 
  3. Failure: Wrong Control Settings are blocked (@test.initialInputCheck.ControlList.R#41) 
  4. Failure: Wrong Control Settings are blocked (@test.initialInputCheck.ControlList.R#41) 
  5. Error: SPOT throws an error if control$types is configured wrong (@test.initialInputCheck.ControlList.R#67) 
  6. Error: SPOT uses the correct amount of function evaluations (@test.initialInputCheck.ControlList.R#95) 
  7. Error: Check conditions with wrong input dimensions (@test.initialInputCheck.xLowerUpper.R#30) 
  8. Error: check that spot function works without problems (@test.main.R#5) 
  
  Error: testthat unit tests failed
  Execution halted