CRAN Package Check Results for Package BayesBrainMap

Last updated on 2026-09-28 17:51:16 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.2.0 13.35 98.05 111.40 OK
r-devel-linux-x86_64-debian-gcc 0.2.0 8.46 72.22 80.68 OK
r-devel-linux-x86_64-fedora-clang 0.2.0 68.74 ERROR
r-devel-linux-x86_64-fedora-gcc 0.2.0 70.41 OK
r-devel-windows-x86_64 0.2.0 14.00 106.00 120.00 OK
r-patched-linux-x86_64 0.2.0 14.34 92.74 107.08 OK
r-release-linux-x86_64 0.2.0 12.62 94.81 107.43 OK
r-release-macos-arm64 0.2.0 3.00 25.00 28.00 OK
r-release-macos-x86_64 0.2.0 9.00 85.00 94.00 OK
r-release-windows-x86_64 0.2.0 14.00 109.00 123.00 OK
r-oldrel-macos-arm64 0.2.0 4.00 34.00 38.00 OK
r-oldrel-macos-x86_64 0.2.0 13.00 124.00 137.00 OK
r-oldrel-windows-x86_64 0.2.0 20.00 134.00 154.00 OK

Check Details

Version: 0.2.0
Check: whether package can be installed
Result: WARN Found the following significant warnings: Note: possible error in 'dual_reg(BOLD, prior$mean, ': argument 4 matches multiple formal arguments See ‘/data/localhost/ripley/R/packages/tests-clang/BayesBrainMap.Rcheck/00install.out’ for details. Information on the location(s) of code generating the ‘Note’s can be obtained by re-running with environment variable R_KEEP_PKG_SOURCE set to ‘yes’. Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.2.0
Check: R code for possible problems
Result: NOTE fit_BBM: warning in dual_reg(BOLD, prior$mean, GSR = FALSE, scale = FALSE, hpf = 0): partial argument match of 'scale' to 'scale_by' fit_BBM: possible error in dual_reg(BOLD, prior$mean, GSR = FALSE, scale = FALSE, hpf = 0): argument 4 matches multiple formal arguments Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.2.0
Check: examples
Result: ERROR Running examples in ‘BayesBrainMap-Ex.R’ failed The error most likely occurred in: > ### Name: estimate_prior > ### Title: Estimate prior > ### Aliases: estimate_prior estimate_prior.cifti estimate_prior.gifti > ### estimate_prior.nifti > > ### ** Examples > > nT <- 21 > nV <- 140 > nQ <- 6 > mU <- matrix(rnorm(nV*nQ), nrow=nV) > mS <- mU %*% diag(seq(nQ, 1)) %*% matrix(rnorm(nQ*nT), nrow=nQ) > BOLD <- list(B1=mS, B2=mS, B3=mS) > BOLD <- lapply(BOLD, function(x){x + rnorm(nV*nT, sd=.05)}) > template <- mU > estimate_prior(BOLD=BOLD, template=mU, FC_nSamp=2000, usePar=FALSE) Setting `scale_sm_FWHM == 0`. Data input format: numeric matrix Image dimensions: 140 Initial in-mask locations: 140 Number of networks: 6 Number of training subjects: 3 Number of covariates: 0 Including Cholesky-based FC prior with 2000 samples (100 random pivots x 20 samples per pivot). Subject 1 of 3. Reading in data... Dual regression... Error in fMRItools::dual_reg(GICA = template, ...) : argument 3 matches multiple formal arguments Subject 1 was skipped (error). Error in fMRItools::dual_reg(GICA = template, ...) : argument 3 matches multiple formal arguments Error in estimate_prior(BOLD = BOLD, template = mU, FC_nSamp = 2000, usePar = FALSE) : Error on first subject. Check data? Execution halted Flavor: r-devel-linux-x86_64-fedora-clang