* using log directory 'd:/RCompile/CRANincoming/R-devel/cdmTools.Rcheck' * using R Under development (unstable) (2025-05-04 r88189 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 'cdmTools/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'cdmTools' version '1.0.6' * package encoding: UTF-8 * checking CRAN incoming feasibility ... [11s] NOTE Maintainer: 'Pablo Nájera ' New maintainer: Pablo Nájera Old maintainer(s): Pablo Nájera * 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 ... NOTE Found the following hidden files and directories: .github These were most likely included in error. See section 'Package structure' in the 'Writing R Extensions' manual. CRAN-pack does not know about .github * checking for portable file names ... OK * checking whether package 'cdmTools' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking for future file timestamps ... 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 ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking whether startup messages can be suppressed ... OK * checking use of S3 registration ... OK * checking dependencies in R code ... NOTE Unexported objects imported by ':::' calls: 'GDINA:::LikNR' 'GDINA:::designM' 'GDINA:::item_latent_group' See the note in ?`:::` about the use of this operator. * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... [30s] OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd line widths ... NOTE Rd file 'FCGDINA.Rd': \examples lines wider than 100 characters: Q.items <- do.call("rbind", replicate(5, diag(5), simplify = FALSE)) # Q-matrix for the unidimensional statements GS <- cbind(runif(n = nrow(Q.items), min = 0.1, max = 0.3), runif(n = nrow(Q.items), min = 0.1, max = 0.3)) # Guessing and slip polarity <- matrix(1, nrow = n.blocks, ncol = 2) # Block polarity (1 = direct statement; -1 = indirect statement) sim <- simFCGDINA(N = 1000, Q.items, n.blocks = n.blocks, polarity = polarity, model = "GDINA", GDINA.args = list(GS = GS), seed = 123) polarity[sample(x = 1:(2*n.blocks), size = 15, replace = FALSE)] <- -1 # Including 15 inverse statements sim <- simFCGDINA(N = 1000, Q.items, n.blocks = n.blocks, polarity = polarity, model = "GDINA", GDINA.args = list(GS = GS), seed = 123) priors <- list("Minimum" = c(1, 1), # Non-informative prior, Beta(1, 1), for latent group with ideal response = 0 "Intermediate" = c(1e8, 1e8), # Extremely informative prior, Beta(1e8, 1e8), for latent groups with ideal response = 0.5 "Maximum" = c(1, 1)) # Non-informative prior, Beta(1, 1), for latent group with ideal response = 1 Rd file 'simFCGDINA.Rd': \examples lines wider than 100 characters: Q.items <- do.call("rbind", replicate(5, diag(5), simplify = FALSE)) # Q-matrix for the unidimensional statements GS <- cbind(runif(n = nrow(Q.items), min = 0.1, max = 0.3), runif(n = nrow(Q.items), min = 0.1, max = 0.3)) # Guessing and slip polarity <- matrix(1, nrow = n.blocks, ncol = 2) # Block polarity (1 = direct statement; -1 = indirect statement) sim <- simFCGDINA(N = 1000, Q.items, n.blocks = n.blocks, polarity = polarity, model = "GDINA", GDINA.args = list(GS = GS), seed = 123) These lines will be truncated in the PDF manual. * 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 examples ... [23s] OK * checking PDF version of manual ... [21s] OK * checking HTML version of manual ... OK * DONE Status: 4 NOTEs