• using R Under development (unstable) (2026-02-12 r89409)
  • using platform: aarch64-apple-darwin23
  • R was compiled by     Apple clang version 17.0.0 (clang-1700.3.19.1)     GNU Fortran (GCC) 14.2.0
  • running under: macOS Sequoia 15.7.1
  • using session charset: UTF-8 * current time: 2026-02-13 01:59:39 UTC
  • checking for file ‘MonteCarlo/DESCRIPTION’ ... OK
  • checking extension type ... Package
  • this is package ‘MonteCarlo’ version ‘1.0.6’
  • checking package namespace information ... OK
  • checking package dependencies ... OK
  • checking if this is a source package ... OK
  • checking if there is a namespace ... OK
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  • checking for sufficient/correct file permissions ... OK
  • checking whether package ‘MonteCarlo’ can be installed ... [1s/1s] OK See the install log for details.
  • checking installed package size ... OK
  • checking package directory ... OK
  • checking ‘build’ directory ... OK
  • checking DESCRIPTION meta-information ... OK
  • checking top-level files ... OK
  • checking for left-over files ... OK
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  • checking R files for syntax errors ... OK
  • checking whether the package can be loaded ... [0s/0s] OK
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  • checking dependencies in R code ... OK
  • checking S3 generic/method consistency ... OK
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  • checking for unstated dependencies in examples ... OK
  • checking installed files from ‘inst/doc’ ... OK
  • checking files in ‘vignettes’ ... OK
  • checking examples ... [1s/1s] ERROR Running examples in ‘MonteCarlo-Ex.R’ failed The error most likely occurred in: > ### Name: MakeFrame > ### Title: Conversion of MonteCarlo outputs to data.frame. > ### Aliases: MakeFrame > > ### ** Examples > > test_func<-function(n,loc,scale){ + sample<-rnorm(n, loc, scale) + stat<-sqrt(n)*mean(sample)/sd(sample) + decision<-abs(stat)>1.96 + return(list("decision"=decision, "stat"=stat)) + } > > n_grid<-c(50,100,250,500) > loc_grid<-c(0,1) > scale_grid<-c(1,2) > > param_list=list("n"=n_grid, "loc"=loc_grid, "scale"=scale_grid) > erg<-MonteCarlo(func=test_func, nrep=250, param_list=param_list, ncpus=1) Grid of 16 parameter constellations to be evaluated.   Progress:     |   | | 0%   |   |==== | 6%   |   |========= | 12%   |   |============= | 19%   |   |================== | 25%   |   |====================== | 31%   |   |========================== | 38%   |   |=============================== | 44%   |   |=================================== | 50%   |   |======================================= | 56%   |   |============================================ | 62%   |   |================================================ | 69%   |   |==================================================== | 75%   |   |========================================================= | 81%   |   |============================================================= | 88%   |   |================================================================== | 94%   |   |======================================================================| 100%   > df<-MakeFrame(erg) Warning in type.convert.default(X[[i]], ...) :   'as.is' should be specified by the caller; using TRUE Warning in type.convert.default(X[[i]], ...) :   'as.is' should be specified by the caller; using TRUE Warning in type.convert.default(X[[i]], ...) :   'as.is' should be specified by the caller; using TRUE Warning in type.convert.default(X[[i]], ...) :   'as.is' should be specified by the caller; using TRUE Warning in type.convert.default(X[[i]], ...) :   'as.is' should be specified by the caller; using TRUE Warning in type.convert.default(X[[i]], ...) :   'as.is' should be specified by the caller; using TRUE Warning in type.convert.default(X[[i]], ...) :   'as.is' should be specified by the caller; using TRUE Warning in type.convert.default(X[[i]], ...) :   'as.is' should be specified by the caller; using TRUE > head(df)     n loc scale decision stat 1 50 0 1 0 0.5140555 2 100 0 1 0 0.7036153 3 250 0 1 0 0.5273391 4 500 0 1 0 0.8101010 5 50 1 1 1 9.5673985 6 100 1 1 1 12.2424763 > > library(dplyr) Attaching package: ‘dplyr’ The following objects are masked from ‘package:stats’:     filter, lag The following objects are masked from ‘package:base’:     intersect, setdiff, setequal, union > library(ggplot2) > tbl <- tbl_df(df) Error: ! `tbl_df()` was deprecated in dplyr 1.0.0 and is now defunct. ℹ Please use `tibble::as_tibble()` instead. Backtrace:     ▆  1. └─dplyr::tbl_df(df)  2. └─lifecycle::deprecate_stop("1.0.0", "tbl_df()", "tibble::as_tibble()")  3. └─lifecycle:::deprecate_stop0(msg)  4. └─rlang::cnd_signal(...) Execution halted
  • checking for unstated dependencies in ‘tests’ ... OK
  • checking tests ... [0s/0s] OK   Running ‘testthat.R’ [0s/0s]
  • checking for unstated dependencies in vignettes ... OK
  • checking package vignettes ... OK
  • checking re-building of vignette outputs ... [6s/6s] ERROR Error(s) in re-building vignettes: --- re-building ‘MonteCarlo-Vignette.Rmd’ using rmarkdown Quitting from MonteCarlo-Vignette.Rmd:315-320 [unnamed-chunk-15] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/lifecycle_error_deprecated> Error: ! `tbl_df()` was deprecated in dplyr 1.0.0 and is now defunct. ℹ Please use `tibble::as_tibble()` instead. --- Backtrace:     ▆  1. └─dplyr::tbl_df(df)  2. └─lifecycle::deprecate_stop("1.0.0", "tbl_df()", "tibble::as_tibble()")  3. └─lifecycle:::deprecate_stop0(msg) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'MonteCarlo-Vignette.Rmd' failed with diagnostics: `tbl_df()` was deprecated in dplyr 1.0.0 and is now defunct. ℹ Please use `tibble::as_tibble()` instead. --- failed re-building ‘MonteCarlo-Vignette.Rmd’ SUMMARY: processing the following file failed:   ‘MonteCarlo-Vignette.Rmd’ Error: Vignette re-building failed. Execution halted
  • checking PDF version of manual ... [2s/2s] OK
  • DONE Status: 2 ERRORs
  • using check arguments '--no-clean-on-error '