CRAN Package Check Results for Package Bayenet

Last updated on 2023-11-29 18:48:40 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1 110.39 36.42 146.81 NOTE
r-devel-linux-x86_64-debian-gcc 0.1 68.51 28.48 96.99 NOTE
r-devel-linux-x86_64-fedora-clang 0.1 209.96 OK
r-devel-linux-x86_64-fedora-gcc 0.1 212.22 OK
r-devel-windows-x86_64 0.1 77.00 74.00 151.00 OK
r-patched-linux-x86_64 0.1 85.54 36.75 122.29 OK
r-release-linux-x86_64 0.1 88.98 36.56 125.54 OK
r-release-macos-arm64 0.1 52.00 OK
r-release-macos-x86_64 0.1 65.00 OK
r-release-windows-x86_64 0.1 101.00 76.00 177.00 OK
r-oldrel-macos-arm64 0.1 53.00 OK
r-oldrel-macos-x86_64 0.1 61.00 OK
r-oldrel-windows-x86_64 0.1 92.00 76.00 168.00 OK

Check Details

Version: 0.1
Check: Rd files
Result: NOTE checkRd: (-1) Bayenet.Rd:51: Lost braces; missing escapes or markup? 51 | When {penalty="elastic net"} (default), the elastic net penalty is adopted. If {penalty="lasso"}, the lasso penalty is used. | ^ checkRd: (-1) Bayenet.Rd:51: Lost braces; missing escapes or markup? 51 | When {penalty="elastic net"} (default), the elastic net penalty is adopted. If {penalty="lasso"}, the lasso penalty is used. | ^ checkRd: (-1) Bayenet.Rd:53: Lost braces; missing escapes or markup? 53 | When {sparse=TRUE} (default), spike--and--slab priors are imposed to identify important main and interaction effects. If {sparse=FALSE}, Laplacian shrinkage will be used. | ^ checkRd: (-1) Bayenet.Rd:53: Lost braces; missing escapes or markup? 53 | When {sparse=TRUE} (default), spike--and--slab priors are imposed to identify important main and interaction effects. If {sparse=FALSE}, Laplacian shrinkage will be used. | ^ checkRd: (-1) Bayenet.Rd:55: Lost braces; missing escapes or markup? 55 | When {robust=TRUE} (default), the distribution of \eqn{\epsilon_{i}} is defined as a Laplace distribution with density | ^ checkRd: (-1) Bayenet.Rd:58: Lost braces; missing escapes or markup? 58 | }, (\eqn{i=1,\dots,n}), which leads to a Bayesian formulation of LAD regression. If {robust=FALSE}, \eqn{\epsilon_{i}} follows a normal distribution. | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc