R Under development (unstable) (2023-09-04 r85066 ucrt) -- "Unsuffered Consequences"
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Platform: x86_64-w64-mingw32/x64

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> if (require("testthat")) {
+   library(ggeffects)
+ 
+   if (length(strsplit(packageDescription("ggeffects")$Version, ".", fixed = TRUE)[[1]]) > 3) {
+     Sys.setenv("RunAllggeffectsTests" = "yes")
+   } else {
+     Sys.setenv("RunAllggeffectsTests" = "no")
+   }
+ 
+ 
+   si <- Sys.info()
+ 
+   osx <- tryCatch(
+     {
+       if (!is.null(si["sysname"])) {
+         si["sysname"] == "Darwin" || startsWith(R.version$os, "darwin")
+       } else {
+         FALSE
+       }
+     },
+     error = function(e) {
+       FALSE
+     }
+   )
+ 
+ 
+   solaris <- tryCatch(
+     {
+       if (!is.null(si["sysname"])) {
+         grepl("SunOS", si["sysname"], ignore.case = TRUE)
+       } else {
+         FALSE
+       }
+     },
+     error = function(e) {
+       FALSE
+     }
+   )
+ 
+   if (!osx && !solaris) {
+     test_check("ggeffects")
+   }
+ }
Loading required package: testthat
(Intercept)    tensionM    tensionH 
   36.38889   -10.00000   -14.72222 

Not all rows are shown in the ouput. Use `print(..., n = Inf)` to show
  all rows.

Not all rows are shown in the ouput. Use `print(..., n = Inf)` to show
  all rows.
Data were 'prettified'. Consider using `terms="c12hour [all]"` to get
  smooth plots.
Can't compute marginal effects, `effects::Effect()` returned an error.

Reason: NA/NaN/Inf in 'y'
You may try `ggpredict()` or `ggemmeans()`.

Data were 'prettified'. Consider using `terms="c12hour [all]"` to get
  smooth plots.
Data points may overlap. Use the `jitter` argument to add some amount of
  random variation to the location of data points and avoid overplotting.
Data points may overlap. Use the `jitter` argument to add some amount of
  random variation to the location of data points and avoid overplotting.
Data points may overlap. Use the `jitter` argument to add some amount of
  random variation to the location of data points and avoid overplotting.
Data points may overlap. Use the `jitter` argument to add some amount of
  random variation to the location of data points and avoid overplotting.
The variance-covariance matrix is not positive definite. Returning the
  nearest positive definite matrix now.
  This ensures that eigenvalues are all positive real numbers, and
  thereby, for instance, it is possible to calculate standard errors for
  all relevant parameters.
The variance-covariance matrix is not positive definite. Returning the
  nearest positive definite matrix now.
  This ensures that eigenvalues are all positive real numbers, and
  thereby, for instance, it is possible to calculate standard errors for
  all relevant parameters.
Could not compute variance-covariance matrix of predictions. No
  confidence intervals are returned.

Re-fitting to get Hessian


Re-fitting to get Hessian

Can't compute marginal effects, `effects::Effect()` returned an error.

Reason: Invalid operation on a survival time
You may try `ggpredict()` or `ggemmeans()`.

Can't compute marginal effects, `effects::Effect()` returned an error.

Reason: non-conformable arguments
You may try `ggpredict()` or `ggemmeans()`.

[ FAIL 0 | WARN 0 | SKIP 28 | PASS 440 ]

══ Skipped tests (28) ══════════════════════════════════════════════════════════
• On CRAN (17): 'test-print_hypothesis_test-ordinal.R:17:5',
  'test-print_hypothesis_test-ordinal.R:31:5',
  'test-print_hypothesis_test.R:18:5', 'test-print_hypothesis_test.R:22:5',
  'test-print_hypothesis_test.R:26:5', 'test-print_hypothesis_test.R:30:5',
  'test-print_hypothesis_test.R:34:5', 'test-print_hypothesis_test.R:39:5',
  'test-print_hypothesis_test.R:43:5', 'test-print_hypothesis_test.R:47:5',
  'test-print_hypothesis_test.R:51:5', 'test-print_hypothesis_test.R:55:5',
  'test-print_hypothesis_test.R:163:7', 'test-print_hypothesis_test.R:205:5',
  'test-print_subsets.R:7:5', 'test-print_subsets.R:12:5',
  'test-zeroinfl.R:29:5'
• TRUE is TRUE (1): 'test-resid_over_grid.R:31:5'
• effect cannot be loaded (1): 'test-nestedLogit.R:1:1'
• empty test (9): 'test-plot.R:13:3', 'test-polr.R:11:3', 'test-polr.R:17:3',
  'test-polr.R:23:3', 'test-polr.R:29:3', 'test-polr.R:35:3',
  'test-polr.R:40:3', 'test-polr.R:55:3', 'test-polr.R:61:3'

[ FAIL 0 | WARN 0 | SKIP 28 | PASS 440 ]
> 
> proc.time()
   user  system elapsed 
  65.82    1.64   67.50