Last updated on 2024-11-19 09:50:17 CET.
| Package | NOTE | OK |
|---|---|---|
| causalBatch | 13 | |
| lolR | 13 | |
| mgc | 10 | 3 |
Current CRAN status: OK: 13
Current CRAN status: NOTE: 13
Version: 2.1
Check: Rd files
Result: NOTE
checkRd: (-1) lol.project.lrlda.Rd:18: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.lrlda.Rd:19: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.lrlda.Rd:20: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.lrlda.Rd:21: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.lrlda.Rd:22: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.pca.Rd:16: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.pca.Rd:17: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.pca.Rd:18: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.pca.Rd:19: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.pca.Rd:20: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.sims.fat_tails.Rd:25: Lost braces; missing escapes or markup?
25 | \item{f}{the fatness scaling of the tail. S2 = f*S1, where S1_{ij} = rho if i != j, and 1 if i == j. Defaults to \code{15}.}
| ^
checkRd: (-1) lol.sims.mean_diff.Rd:36: Lost braces; missing escapes or markup?
36 | \item{s}{the scaling parameter of the covariance matrix. S_{ij} = scaling*1 if i == j, or scaling*offdiag if i != j. Defaults to \code{1}.}
| ^
checkRd: (-1) lol.utils.decomp.Rd:21: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.utils.decomp.Rd:22: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.utils.decomp.Rd:23: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.utils.decomp.Rd:24: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.utils.decomp.Rd:25: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.xval.eval.Rd:31: Lost braces; missing escapes or markup?
31 | \item{alg}{the algorithm to use for embedding. Should be a function that accepts inputs \code{X}, \code{Y}, and has a parameter for \code{alg.dimname} if \code{alg} is supervised, or just \code{X} and \code{alg.dimname} if \code{alg} is unsupervised.This algorithm should return a list containing a matrix that embeds from {d} to {r <= d} dimensions.}
| ^
checkRd: (-1) lol.xval.eval.Rd:31: Lost braces; missing escapes or markup?
31 | \item{alg}{the algorithm to use for embedding. Should be a function that accepts inputs \code{X}, \code{Y}, and has a parameter for \code{alg.dimname} if \code{alg} is supervised, or just \code{X} and \code{alg.dimname} if \code{alg} is unsupervised.This algorithm should return a list containing a matrix that embeds from {d} to {r <= d} dimensions.}
| ^
checkRd: (-1) lol.xval.eval.Rd:68: Lost braces
68 | \item{if ]code{rank.low == TRUE}, users cross-validation method with \code{ntrain = min((k-1)/k*n, d)} sample training sets, where \code{d} is the number of dimensions in \code{X}. This ensures that the training data is always low-rank, \code{ntrain < d + 1}. Note that the resulting training sets may have \code{ntrain < (k-1)/k*n}, but the resulting testing sets will always be properly rotated \code{ntest = n/k} to ensure no dependencies in fold-wise testing.}
| ^
checkRd: (-1) lol.xval.optimal_dimselect.Rd:32: Lost braces; missing escapes or markup?
32 | \item{alg}{the algorithm to use for embedding. Should be a function that accepts inputs \code{X} and \code{Y} and embedding dimension \code{r} if \code{alg} is supervised, or just \code{X} and embedding dimension \code{r} if \code{alg} is unsupervised.This algorithm should return a list containing a matrix that embeds from {d} to {r < d} dimensions.}
| ^
checkRd: (-1) lol.xval.optimal_dimselect.Rd:32: Lost braces; missing escapes or markup?
32 | \item{alg}{the algorithm to use for embedding. Should be a function that accepts inputs \code{X} and \code{Y} and embedding dimension \code{r} if \code{alg} is supervised, or just \code{X} and embedding dimension \code{r} if \code{alg} is unsupervised.This algorithm should return a list containing a matrix that embeds from {d} to {r < d} dimensions.}
| ^
checkRd: (-1) lol.xval.optimal_dimselect.Rd:75: Lost braces
75 | \item{if ]code{rank.low == TRUE}, users cross-validation method with \code{ntrain = min((k-1)/k*n, d)} sample training sets, where \code{d} is the number of dimensions in \code{X}. This ensures that the training data is always low-rank, \code{ntrain < d + 1}. Note that the resulting training sets may have \code{ntrain < (k-1)/k*n}, but the resulting testing sets will always be properly rotated \code{ntest = n/k} to ensure no dependencies in fold-wise testing.}
| ^
checkRd: (-1) predict.nearestCentroid.Rd:12: Lost braces in \itemize; meant \describe ?
checkRd: (-1) predict.nearestCentroid.Rd:13: Lost braces in \itemize; meant \describe ?
checkRd: (-1) predict.nearestCentroid.Rd:14: Lost braces in \itemize; meant \describe ?
checkRd: (-1) predict.randomChance.Rd:12: Lost braces in \itemize; meant \describe ?
checkRd: (-1) predict.randomChance.Rd:13: Lost braces in \itemize; meant \describe ?
checkRd: (-1) predict.randomGuess.Rd:12: Lost braces in \itemize; meant \describe ?
checkRd: (-1) predict.randomGuess.Rd:13: Lost braces in \itemize; meant \describe ?
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
Version: 2.1
Check: dependencies in R code
Result: NOTE
Namespace in Imports field not imported from: ‘ggplot2’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 2.1
Check: LazyData
Result: NOTE
'LazyData' is specified without a 'data' directory
Flavors: r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Current CRAN status: NOTE: 10, OK: 3
Version: 2.0.2
Check: dependencies in R code
Result: NOTE
Namespaces in Imports field not imported from:
‘boot’ ‘energy’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 2.0.2
Check: LazyData
Result: NOTE
'LazyData' is specified without a 'data' directory
Flavors: r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64