* using log directory 'd:/Rcompile/CRANpkg/local/4.4/IrregLong.Rcheck'
* using R version 4.4.0 RC (2024-04-16 r86468 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 13.2.0
    GNU Fortran (GCC) 13.2.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* checking for file 'IrregLong/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'IrregLong' version '0.3.4'
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'IrregLong' can be installed ... OK
* 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
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... [2s] OK
* checking whether the package can be loaded with stated dependencies ... [2s] OK
* checking whether the package can be unloaded cleanly ... [2s] OK
* checking whether the namespace can be loaded with stated dependencies ... [2s] OK
* checking whether the namespace can be unloaded cleanly ... [2s] OK
* checking loading without being on the library search path ... [3s] OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
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* checking R code for possible problems ... [8s] OK
* checking Rd files ... [1s] NOTE
checkRd: (-1) extent.of.irregularity.Rd:59: Lost braces; missing escapes or markup?
    59 | This function provides plots and a numerical summary of the extent of irregularity in visit times. For any given set of cutpoints, it computes the proportion of individuals with 0, 1 and >1 observation(s) in each bin, then takes the mean over bins. The sizes of the bins are varied and these proportions are plotted against bin size. In addition, then mean proportion of individuals with >1 visit per bin is plotted vs. the mean proportion of individuals with 0 visits per bin, and the area under the curve is calculated (AUC). An AUC of 0 represents perfect repeated measures while a Poisson Process has an AUC of 0. If cutpoints are not supplied, they are computed as follows: (a) for studies with protocolized visit times, the left- and right-hand cutpoints are positioned at the protocolized time minus (or plus, for right-hand cutpoints) (1,...,ncutpts)/ncutpts times the gap to the previous (or next, respectively) protocolized visit time; (b) for studies with no protocolized visit times, cutpoints are calculated by finding, for each j in {1,...,ncutpts} the largest times for which the cumulative hazard is less than j divided by the cumulative hazard evaluated at the maximum time of interest. This corresponds to choosing cutpoints such that the expected number of visits per bin is roughly equal within each set.
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* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking installed files from 'inst/doc' ... OK
* checking files in 'vignettes' ... OK
* checking examples ... [6s] OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... [9s] OK
* checking PDF version of manual ... [21s] OK
* checking HTML version of manual ... [2s] OK
* DONE
Status: 1 NOTE