Running 'testthat.R' [47s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > if (require("testthat")) {
  +     test_check("surveillance")
  + }
  Loading required package: testthat
  Loading required package: surveillance
  Loading required package: sp
  Loading required package: xtable
  This is surveillance 1.16.0. For overview type 'help(surveillance)'.
  -- 1. Error: still the same z-statistics with rps  -----------------------------
  cannot allocate vector of size 2 Kb
  1: test_code(desc, code, env = parent.frame())
  2: 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) {
     })
  3: tryCatchList(expr, classes, parentenv, handlers)
  4: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], 
         parentenv, handlers[[nh]])
  5: doTryCatch(return(expr), name, parentenv, handler)
  6: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  7: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  8: value[[3L]](cond)
  
  
  Penalized log-likelihood:
  Checking analytical score vector using numDeriv::grad() ...
  [1] TRUE
  Checking analytical Fisher information matrix using numDeriv::hessian() ...
  [1] "Mean relative difference: 3.823851e-07"
  
  Penalized log-likelihood:
  Checking analytical score vector using numDeriv::grad() ...
  [1] TRUE
  Checking analytical Fisher information matrix using numDeriv::hessian() ...
  [1] "Mean relative difference: 1.593786e-07"
  'F' vs. cubature using method = "midpoint" ... TRUE 
  'Fcircle' vs. cubature using method = "midpoint" ... TRUE 
  'deriv' vs. numerical derivative ... TRUE 
  'Deriv' vs. cubature using method = "midpoint" ... TRUE 
  'F' vs. cubature using method = "SV" ... TRUE 
  'Fcircle' vs. cubature using method = "SV" ... TRUE 
  'deriv' vs. numerical derivative ... TRUE 
  'Deriv' vs. cubature using method = "SV" ... TRUE 
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  'F' vs. cubature using method = "SV" ... TRUE 
  'Fcircle' vs. cubature using method = "SV" ... TRUE 
  'deriv' vs. numerical derivative ... TRUE 
  'Deriv' vs. cubature using method = "SV" ... 
  	siaf parameter 1: TRUE 
  	siaf parameter 2: TRUE 
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  'F' vs. cubature using method = "midpoint" ... TRUE 
  'Fcircle' vs. cubature using method = "midpoint" ... TRUE 
  'deriv' vs. numerical derivative ... TRUE 
  'Deriv' vs. cubature using method = "midpoint" ... 
  	siaf parameter 1: TRUE 
  	siaf parameter 2: TRUE 
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  Checking 'intrfr' against a numeric approximation ... OK
  'F' vs. cubature using method = "SV" ... TRUE 
  'deriv' vs. numerical derivative ... TRUE 
  'Deriv' vs. cubature using method = "SV" ... 
  	siaf parameter 1: TRUE 
  	siaf parameter 2: TRUE 
  'F' vs. cubature using method = "midpoint" ... TRUE 
  'Fcircle' vs. cubature using method = "midpoint" ... TRUE 
  'deriv' vs. numerical derivative ... TRUE 
  'Deriv' vs. cubature using method = "midpoint" ... 
  	siaf parameter 1: TRUE 
  	siaf parameter 2: TRUE 
  	siaf parameter 3: TRUE 
  == testthat results  ===========================================================
  OK: 249 SKIPPED: 4 FAILED: 1
  1. Error: still the same z-statistics with rps 
  
  Error: testthat unit tests failed
  Execution halted