Running ‘testthat.R’ [55s/69s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(psycho)
  > 
  > test_check("psycho")
  ── 1. Error: If it works. (@test-analyze.glmerMod.R#9)  ────────────────────────
  'summary' is not an exported object from 'namespace:lmerTest'
  1: psycho::analyze(fit) at testthat/test-analyze.glmerMod.R:9
  2: analyze.glmerMod(fit)
  3: data.frame(lmerTest::summary(fit)$coefficients)
  4: lmerTest::summary
  5: getExportedValue(pkg, name)
  6: stop(gettextf("'%s' is not an exported object from 'namespace:%s'", name, getNamespaceName(ns)), 
         call. = FALSE, domain = NA)
  
  ── 2. Error: If it works. (@test-analyze.merMod.R#9)  ──────────────────────────
  object of type 'closure' is not subsettable
  1: psycho::analyze(x) at testthat/test-analyze.merMod.R:9
  2: analyze.merMod(x)
  3: analyze(fit)
  4: analyze.merMod(fit)
  5: lmerTest::lmer(formula, data)
  6: eval.parent(mc)
  7: eval(expr, p)
  8: eval(expr, p)
  9: lme4::lmer(formula = formula, data = data)
  10: eval(mc, parent.frame(1L))
  11: eval(mc, parent.frame(1L))
  12: lme4::lFormula(formula = formula, data = data, control = structure(list(optimizer = "bobyqa", 
         restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, 
         checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", 
             check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", 
             check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), 
         checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), 
             check.conv.singular = list(action = "ignore", tol = 1e-04), check.conv.hess = list(
                 action = "warning", tol = 1e-06)), optCtrl = list()), class = c("lmerControl", 
     "merControl")))
  13: checkFormulaData(formula, data, checkLHS = control$check.formula.LHS == "stop")
  14: stopifnot(!checkLHS || length(as.formula(formula, env = denv)) == 3)
  15: withCallingHandlers(tryCatch(if (missE) ...elt(i) else eval(cl.i, envir = envir), 
         error = function(e) {
             e$call <- cl.i
             stop(e)
         }), warning = function(w) {
         w$call <- cl.i
         w
     })
  16: tryCatch(if (missE) ...elt(i) else eval(cl.i, envir = envir), error = function(e) {
         e$call <- cl.i
         stop(e)
     })
  17: tryCatchList(expr, classes, parentenv, handlers)
  18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  19: value[[3L]](cond)
  
  ── 3. Error: If it works. (@test-analyze.merModLmerTest.R#9)  ──────────────────
  object of type 'closure' is not subsettable
  1: psycho::analyze(fit) at testthat/test-analyze.merModLmerTest.R:9
  2: analyze.merMod(fit)
  3: analyze(fit)
  4: analyze.merMod(fit)
  5: lmerTest::lmer(formula, data)
  6: eval.parent(mc)
  7: eval(expr, p)
  8: eval(expr, p)
  9: lme4::lmer(formula = formula, data = data)
  10: eval(mc, parent.frame(1L))
  11: eval(mc, parent.frame(1L))
  12: lme4::lFormula(formula = formula, data = data, control = structure(list(optimizer = "bobyqa", 
         restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, 
         checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", 
             check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", 
             check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), 
         checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), 
             check.conv.singular = list(action = "ignore", tol = 1e-04), check.conv.hess = list(
                 action = "warning", tol = 1e-06)), optCtrl = list()), class = c("lmerControl", 
     "merControl")))
  13: checkFormulaData(formula, data, checkLHS = control$check.formula.LHS == "stop")
  14: stopifnot(!checkLHS || length(as.formula(formula, env = denv)) == 3)
  15: withCallingHandlers(tryCatch(if (missE) ...elt(i) else eval(cl.i, envir = envir), 
         error = function(e) {
             e$call <- cl.i
             stop(e)
         }), warning = function(w) {
         w$call <- cl.i
         w
     })
  16: tryCatch(if (missE) ...elt(i) else eval(cl.i, envir = envir), error = function(e) {
         e$call <- cl.i
         stop(e)
     })
  17: tryCatchList(expr, classes, parentenv, handlers)
  18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  19: value[[3L]](cond)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
  Rejecting initial value:
    Log probability evaluates to log(0), i.e. negative infinity.
    Stan can't start sampling from this initial value.
  Rejecting initial value:
    Log probability evaluates to log(0), i.e. negative infinity.
    Stan can't start sampling from this initial value.
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.627813 seconds (Warm-up)
                 0.579371 seconds (Sampling)
                 1.20718 seconds (Total)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
  Rejecting initial value:
    Log probability evaluates to log(0), i.e. negative infinity.
    Stan can't start sampling from this initial value.
  
  Gradient evaluation took 2.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.713352 seconds (Warm-up)
                 0.518828 seconds (Sampling)
                 1.23218 seconds (Total)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
  
  Gradient evaluation took 2.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.702927 seconds (Warm-up)
                 0.476651 seconds (Sampling)
                 1.17958 seconds (Total)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
  
  Gradient evaluation took 2.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.706425 seconds (Warm-up)
                 0.529473 seconds (Sampling)
                 1.2359 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 8.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.85 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 3.99994 seconds (Warm-up)
                 4.09145 seconds (Sampling)
                 8.09139 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 4.0589 seconds (Warm-up)
                 3.58043 seconds (Sampling)
                 7.63933 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 3.81541 seconds (Warm-up)
                 3.77381 seconds (Sampling)
                 7.58922 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 4.26734 seconds (Warm-up)
                 2.84252 seconds (Sampling)
                 7.10986 seconds (Total)
  
  The Crawford-Howell (1998) t-test suggests that the case partipant is significantly distinct from the control group (t(7) = 3.05, p < .05*).
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.141539 seconds (Warm-up)
                 0.147654 seconds (Sampling)
                 0.289193 seconds (Total)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
  
  Gradient evaluation took 2.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.138568 seconds (Warm-up)
                 0.161541 seconds (Sampling)
                 0.300109 seconds (Total)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.134953 seconds (Warm-up)
                 0.131092 seconds (Sampling)
                 0.266045 seconds (Total)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
  
  Gradient evaluation took 2.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.12717 seconds (Warm-up)
                 0.122532 seconds (Sampling)
                 0.249702 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 3.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.108138 seconds (Warm-up)
                 0.099381 seconds (Sampling)
                 0.207519 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 2.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.110905 seconds (Warm-up)
                 0.09929 seconds (Sampling)
                 0.210195 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 2.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.108805 seconds (Warm-up)
                 0.110319 seconds (Sampling)
                 0.219124 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 1.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.131052 seconds (Warm-up)
                 0.117463 seconds (Sampling)
                 0.248515 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 6.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.69 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.297961 seconds (Warm-up)
                 0.309876 seconds (Sampling)
                 0.607837 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 3.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.310562 seconds (Warm-up)
                 0.303282 seconds (Sampling)
                 0.613844 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 3.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.312494 seconds (Warm-up)
                 0.273905 seconds (Sampling)
                 0.586399 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 3.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.260478 seconds (Warm-up)
                 0.284793 seconds (Sampling)
                 0.545271 seconds (Total)
  
  The Mellenbergh & van den Brink (1998) test suggests that the change is not significant (d = 8, 90% CI [1.06, 14.94], z = 1.90, p = 0.06<b0>).
  
  The Mellenbergh & van den Brink (1998) test suggests that the change is significant (d = 8, 90% CI [2.07, 13.93], z = 2.23, p < .05*).
  
  1
  ══ testthat results  ═══════════════════════════════════════════════════════════
  OK: 56 SKIPPED: 0 FAILED: 3
  1. Error: If it works. (@test-analyze.glmerMod.R#9) 
  2. Error: If it works. (@test-analyze.merMod.R#9) 
  3. Error: If it works. (@test-analyze.merModLmerTest.R#9) 
  
  Error: testthat unit tests failed
  Execution halted