Last updated on 2025-03-12 17:52:14 CET.
| Package | ERROR | NOTE | OK |
|---|---|---|---|
| bain | 15 | ||
| gorica | 15 | ||
| pema | 1 | 7 | 7 |
| theorytools | 15 | ||
| tidySEM | 1 | 14 | |
| worcs | 15 |
Current CRAN status: OK: 15
Current CRAN status: OK: 15
Current CRAN status: ERROR: 1, NOTE: 7, OK: 7
Version: 0.1.3
Check: for GNU extensions in Makefiles
Result: NOTE
GNU make is a SystemRequirements.
Flavors: r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 0.1.3
Check: installed package size
Result: NOTE
installed size is 151.6Mb
sub-directories of 1Mb or more:
libs 150.6Mb
Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 0.1.3
Check: tests
Result: ERROR
Running ‘testthat.R’ [16s/16s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(pema)
>
> test_check("pema")
SAMPLING FOR MODEL 'lasso_MA' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 6.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.66 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.011 seconds (Warm-up)
Chain 1: 0 seconds (Sampling)
Chain 1: 0.011 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'lasso_MA' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.6e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: WARNING: No variance estimation is
Chain 2: performed for num_warmup < 20
Chain 2:
Chain 2: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 2: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 2: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 2: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 2: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 2: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 2: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 2: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 2: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 2: Iteration: 10 / 10 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.013 seconds (Warm-up)
Chain 2: 0 seconds (Sampling)
Chain 2: 0.013 seconds (Total)
Chain 2:
SAMPLING FOR MODEL 'lasso_MA' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.5e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: WARNING: No variance estimation is
Chain 3: performed for num_warmup < 20
Chain 3:
Chain 3: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 3: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 3: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 3: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 3: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 3: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 3: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 3: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 3: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 3: Iteration: 10 / 10 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.013 seconds (Warm-up)
Chain 3: 0 seconds (Sampling)
Chain 3: 0.013 seconds (Total)
Chain 3:
SAMPLING FOR MODEL 'lasso_MA' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: WARNING: No variance estimation is
Chain 4: performed for num_warmup < 20
Chain 4:
Chain 4: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 4: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 4: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 4: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 4: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 4: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 4: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 4: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 4: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 4: Iteration: 10 / 10 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.016 seconds (Warm-up)
Chain 4: 0 seconds (Sampling)
Chain 4: 0.016 seconds (Total)
Chain 4:
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 19 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-multiple_imp.R:8:1'): (code run outside of `test_that()`) ──────
Error: package or namespace load failed for 'mice' in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]):
there is no package called 'pan'
Backtrace:
▆
1. └─base::library(mice) at test-multiple_imp.R:8:1
2. └─base::tryCatch(...)
3. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
4. └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
5. └─value[[3L]](cond)
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 19 ]
Error: Test failures
Execution halted
Flavor: r-release-macos-arm64
Current CRAN status: OK: 15
Current CRAN status: ERROR: 1, OK: 14
Version: 0.2.8
Check: examples
Result: ERROR
Running examples in ‘tidySEM-Ex.R’ failed
The error most likely occurred in:
> ### Name: pseudo_class
> ### Title: Estimate an Auxiliary Model using the Pseudo-Class Method
> ### Aliases: pseudo_class pseudo_class.MxModel
>
> ### ** Examples
>
> if(requireNamespace("OpenMx", quietly = TRUE)){
+ set.seed(2)
+ dat <- iris[c(1:5, 50:55, 100:105), 1:4]
+ colnames(dat) <- c("SL", "SW", "PL", "PW")
+ fit <- suppressWarnings(mx_profiles(data = dat, classes = 3))
+
+ pct_mx <- pseudo_class(x = fit,
+ model = "SL ~ class",
+ data = dat,
+ m = 2)
+
+ pct_lm <- pseudo_class(x = fit,
+ model = lm( SL ~ class, data = data),
+ data = dat,
+ m = 2)
+
+
+ pcte <- pseudo_class(x = fit,
+ model = lm(SL ~ class, data = data),
+ data = dat,
+ m = 2)
+
+ pct_func <- pseudo_class(x = fit,
+ model = function(data){lm(SL ~ class, data = data)},
+ data = dat,
+ m = 2)
+
+
+ }
Running mix3 with 18 parameters
Running mix3 with 18 parameters
The degrees of freedom are assumed to be equal to the total number of observations used in the model ( 17 ) minus the number of parameters estimated ( 5 ). This may not be correct. If necessary, provide a better value via the 'df_complete' argument
Error in pseudo_class_pool.default(fits, ...) :
Cannot pool fit objects, because package 'mice' is not installed
Calls: pseudo_class ... pseudo_class.class_draws -> pseudo_class_pool -> pseudo_class_pool.default
Execution halted
Flavor: r-release-macos-arm64
Version: 0.2.8
Check: tests
Result: ERROR
Running ‘testthat.R’ [40s/40s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(tidySEM)
> if(requireNamespace("OpenMx", quietly = TRUE)) require("OpenMx")
Loading required package: OpenMx
OpenMx may run faster if it is compiled to take advantage of multiple cores.
> if(requireNamespace("umx", quietly = TRUE)) require("umx")
Loading required package: umx
For an overview type '?umx'
Attaching package: 'umx'
The following object is masked from 'package:stats':
loadings
> options("test_mplus" = FALSE)
> test_check("tidySEM")
[ FAIL 1 | WARN 2 | SKIP 6 | PASS 118 ]
══ Skipped tests (6) ═══════════════════════════════════════════════════════════
• Not run by package maintainer (5): 'test-multigroup_mx.R:3:5',
'test-openmx_ordinal.R:3:5', 'test-openmx_ordinal_methods.R:4:5',
'test-plot_multigroup_multilevel.R:2:3', 'test-plot_plot_prob.R:3:3'
• On CRAN (1): 'test-plot_profiles_varyingcov.R:2:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-pseudo_class_technique.R:8:3'): pseudo_class works ─────────────
Error in `pseudo_class_pool.default(fits, ...)`: Cannot pool fit objects, because package 'mice' is not installed
Backtrace:
▆
1. ├─tidySEM::pseudo_class(...)
2. └─tidySEM:::pseudo_class.class_draws(...)
3. ├─tidySEM:::pseudo_class_pool(fits, ...)
4. └─tidySEM:::pseudo_class_pool.default(fits, ...)
[ FAIL 1 | WARN 2 | SKIP 6 | PASS 118 ]
Error: Test failures
Execution halted
Flavor: r-release-macos-arm64
Current CRAN status: OK: 15