CRAN Package Check Results for Package BCSub

Last updated on 2025-06-20 09:51:26 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.5 23.15 37.88 61.03 NOTE
r-devel-linux-x86_64-debian-gcc 0.5 19.36 29.59 48.95 NOTE
r-devel-linux-x86_64-fedora-clang 0.5 113.89 ERROR
r-devel-windows-x86_64 0.5 31.00 73.00 104.00 OK
r-patched-linux-x86_64 0.5 24.92 35.75 60.67 OK
r-release-linux-x86_64 0.5 26.92 35.69 62.61 OK
r-release-macos-arm64 0.5 58.00 OK
r-release-macos-x86_64 0.5 96.00 OK
r-release-windows-x86_64 0.5 31.00 76.00 107.00 OK
r-oldrel-macos-arm64 0.5 52.00 NOTE
r-oldrel-macos-x86_64 0.5 86.00 NOTE
r-oldrel-windows-x86_64 0.5 37.00 86.00 123.00 NOTE

Check Details

Version: 0.5
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Jiehuan Sun <jiehuan.sun@yale.edu>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: c(person(given = "Jiehuan", family = "Sun", role = c("aut", "cre"), email = "jiehuan.sun@yale.edu"), person(given = c("Joshua", "L."), family = "Warren", role = "aut"), person(given = "Hongyu", family = "Zhao", role = "aut")) as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 0.5
Check: examples
Result: ERROR Running examples in ‘BCSub-Ex.R’ failed The error most likely occurred in: > ### Name: BCSub > ### Title: A Bayesian semiparametric factor analysis model for subtype > ### identification (Clustering). > ### Aliases: BCSub > > ### ** Examples > > set.seed(1) > n = 100 ## number of subjects > G = 200 ## number of genes > SNR = 0 ## ratio of noise genes > ## loading matrix with four factors > lam = matrix(0,G,4) > lam[1:(G/4),1] = runif(G/4,-3,3) > lam[(G/4+1):(G/2),2] = runif(G/4,-3,3) > lam[(G/2+1):(3*G/4),3] = runif(G/4,-3,3) > lam[(3*G/4+1):(G),4] = runif(G/4,-3,3) > ## generate low-rank covariance matrix > sigma <- lam%*%t(lam) + diag(rep(1,G)) > sigma <- cov2cor(sigma) > ## true cluster structure ## > e.true = c(rep(1,n/2),rep(2,n/2)) > > ## generate data matrix ## > mu1 = rep(1,G) > mu1[sample(1:G,SNR*G)] = 0 > mu2 <- rep(0,G) > A = rbind(mvrnorm(n/2,mu1,sigma),mvrnorm(n/2,mu2,sigma)) > > ## factor analysis to decide the number of factors > ## Not run: > ##D ev = eigen(cor(A)) > ##D ap = parallel(subject=nrow(A),var=ncol(A),rep=100,cent=.05) > ##D nS = nScree(x=ev$values, aparallel=ap$eigen$qevpea) > ##D M = nS$Components[1,3] ## number of factors > ## End(Not run) > M = 4 > ## run BCSub for clustering > iters = 1000 ## total number of iterations > seq = 600:1000 ## posterior samples used for inference > system.time(res <- BCSub(A,iter=iters,seq=seq,M=M)) user system elapsed 12.677 0.301 34.193 > res$CL ## inferred cluster structure [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 [75] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 > > ## calculate and plot similarity matrix > sim = calSim(t(res$E[,seq])) > > ## plot similarity matrix > x <- rep(1:n,times=n) > y <- rep(1:n,each=n) > z <- as.vector(sim) > levelplot(z~x*y,col.regions=rev(gray.colors(n^2)), xlab = "Subject ID",ylab = "Subject ID") Error in levelplot(z ~ x * y, col.regions = rev(gray.colors(n^2)), xlab = "Subject ID", : could not find function "levelplot" Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.5
Check: LazyData
Result: NOTE 'LazyData' is specified without a 'data' directory Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64