• using R Under development (unstable) (2025-09-03 r88788 ucrt)
• using platform: x86_64-w64-mingw32
• R was compiled by     gcc.exe (GCC) 14.2.0     GNU Fortran (GCC) 14.2.0
• running under: Windows Server 2022 x64 (build 20348)
• using session charset: UTF-8
• checking for file 'mixpoissonreg/DESCRIPTION' ... OK
• this is package 'mixpoissonreg' version '1.0.0'
• package encoding: UTF-8
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• checking whether package 'mixpoissonreg' can be installed ... OK See the install log for details.
• checking installed package size ... OK
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• checking 'build' directory ... OK
• checking DESCRIPTION meta-information ... OK
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• checking installed files from 'inst/doc' ... OK
• checking files in 'vignettes' ... OK
• checking examples ... [9s] OK
• checking for unstated dependencies in 'tests' ... OK
• checking tests ... [121s] ERROR   Running 'testthat.R' [120s] Running the tests in 'tests/testthat.R' failed. Complete output:   > library(testthat)   > library(mixpoissonreg)   >   > test_check("mixpoissonreg")      Negative Binomial Regression - Expectation-Maximization Algorithm      Call:   mixpoissonreg(formula = daysabs ~ prog + math, data = Attendance,       em_controls = list(maxit = 1))      Coefficients modeling the mean (with log link):      (Intercept) progAcademic progVocational math      2.615321329 -0.440755734 -1.278742703 -0.005993368   Coefficients modeling the precision (with identity link):   (Intercept)      1.032717      Negative Binomial Regression - Maximum-Likelihood Estimation      Call:   mixpoissonregML(formula = daysabs ~ prog + math, data = Attendance)      Coefficients modeling the mean (with log link):      (Intercept) progAcademic progVocational math      2.615321329 -0.440755734 -1.278742703 -0.005993368   Coefficients modeling the precision (with identity link):   (Intercept)      1.032717      Negative Binomial Regression - Maximum-Likelihood Estimation      Call:   mixpoissonregML(formula = daysabs ~ prog + math, data = Attendance)         Pearson residuals:        RSS Min 1Q Median 3Q Max   339.8789 -0.9611 -0.7098 -0.3259 0.2460 4.9565      Coefficients modeling the mean (with link):                   Estimate Std.error z-value Pr(>|z|)   (Intercept) 2.615321 0.196355 13.319 < 2e-16 ***   progAcademic -0.440756 0.182579 -2.414 0.0158 *   progVocational -1.278743 0.201982 -6.331 2.44e-10 ***   math -0.005993 0.002507 -2.390 0.0168 *      Coefficients modeling the precision (with link):               Estimate Std.error z-value Pr(>|z|)   (Intercept) 1.0327 0.1062 9.729 <2e-16 ***   ---   Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1      Efron's pseudo R-squared: 0.1707781   Number of function calls by 'optim' = 4      Negative Binomial Regression - Maximum-Likelihood Estimation      Call:   mixpoissonregML(formula = daysabs ~ prog + math, data = Attendance,       envelope = 10, optim_controls = list(maxit = 1))         Pearson residuals:        RSS Min 1Q Median 3Q Max   339.8789 -0.9611 -0.7098 -0.3259 0.2460 4.9565      Coefficients modeling the mean (with link):                   Estimate Std.error z-value Pr(>|z|)   (Intercept) 2.615321 0.196355 13.319 < 2e-16 ***   progAcademic -0.440756 0.182579 -2.414 0.0158 *   progVocational -1.278743 0.201982 -6.331 2.44e-10 ***   math -0.005993 0.002507 -2.390 0.0168 *      Coefficients modeling the precision (with link):               Estimate Std.error z-value Pr(>|z|)   (Intercept) 1.0327 0.1062 9.729 <2e-16 ***   ---   Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1      Efron's pseudo R-squared: 0.1707781   Percentage of residuals within the envelope = 79.2994   Number of function calls by 'optim' = 4   [ FAIL 1 | WARN 26 | SKIP 0 | PASS 41 ]      ══ Failed tests ════════════════════════════════════════════════════════════════   ── Error ('test-tidy.R:14:1'): (code run outside of `test_that()`) ─────────────   Error in `ll(object)`: could not find function "ll"   Backtrace:       ▆    1. ├─generics::glance(fit1) at test-tidy.R:14:1    2. ├─mixpoissonreg:::glance.mixpoissonreg(fit1)    3. │ └─tibble::tibble(...)    4. │ └─tibble:::tibble_quos(xs, .rows, .name_repair)    5. │ └─rlang::eval_tidy(xs[[j]], mask)    6. ├─stats::AIC(x)    7. └─stats:::AIC.default(x)      [ FAIL 1 | WARN 26 | SKIP 0 | PASS 41 ]   Error: Test failures   Execution halted
• checking for unstated dependencies in vignettes ... OK
• checking package vignettes ... OK
• checking re-building of vignette outputs ... [118s] ERROR Error(s) in re-building vignettes: --- re-building 'influence-mixpoissonreg.Rmd' using rmarkdown --- finished re-building 'influence-mixpoissonreg.Rmd' --- re-building 'intervals-mixpoissonreg.Rmd' using rmarkdown --- finished re-building 'intervals-mixpoissonreg.Rmd' --- re-building 'ml-mixpoissonreg.Rmd' using rmarkdown --- finished re-building 'ml-mixpoissonreg.Rmd' --- re-building 'tidyverse-mixpoissonreg.Rmd' using rmarkdown Quitting from tidyverse-mixpoissonreg.Rmd:142-144 [unnamed-chunk-12] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `ll()`: ! could not find function "ll" --- Backtrace:     ▆  1. ├─generics::glance(fit)  2. ├─mixpoissonreg:::glance.mixpoissonreg(fit)  3. │ └─tibble::tibble(...)  4. │ └─tibble:::tibble_quos(xs, .rows, .name_repair)  5. │ └─rlang::eval_tidy(xs[[j]], mask)  6. ├─stats::AIC(x)  7. └─stats:::AIC.default(x) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'tidyverse-mixpoissonreg.Rmd' failed with diagnostics: could not find function "ll" --- failed re-building 'tidyverse-mixpoissonreg.Rmd' --- re-building 'tutorial-mixpoissonreg.Rmd' using rmarkdown --- finished re-building 'tutorial-mixpoissonreg.Rmd' SUMMARY: processing the following file failed:   'tidyverse-mixpoissonreg.Rmd' Error: Vignette re-building failed. Execution halted
• checking PDF version of manual ... [30s] OK
• checking HTML version of manual ... [6s] OK
• DONE

Status: 2 ERRORs