CRAN Package Check Results for Package clustrd

Last updated on 2024-05-17 21:55:53 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.4.0 26.53 204.04 230.57 NOTE
r-devel-linux-x86_64-debian-gcc 1.4.0 17.26 146.88 164.14 NOTE
r-devel-linux-x86_64-fedora-clang 1.4.0 292.71 NOTE
r-devel-linux-x86_64-fedora-gcc 1.4.0 323.54 NOTE
r-devel-windows-x86_64 1.4.0 18.00 142.00 160.00 NOTE
r-patched-linux-x86_64 1.4.0 21.34 191.02 212.36 NOTE
r-release-linux-x86_64 1.4.0 22.71 193.38 216.09 NOTE
r-release-macos-arm64 1.4.0 68.00 NOTE
r-release-windows-x86_64 1.4.0 21.00 143.00 164.00 NOTE
r-oldrel-macos-arm64 1.4.0 72.00 OK
r-oldrel-macos-x86_64 1.4.0 130.00 OK
r-oldrel-windows-x86_64 1.4.0 25.00 186.00 211.00 OK

Check Details

Version: 1.4.0
Check: Rd files
Result: NOTE checkRd: (-1) global_bootclus.Rd:38: Lost braces; missing escapes or markup? 38 | \emph{Step 1. Resampling:} Draw bootstrap samples S_i and T_i of size \emph{n} from the data and use the original data, X, as evaluation set E_i = X. Apply the clustering method of choice to S_i and T_i and obtain C^{S_i} and C^{T_i}. | ^ checkRd: (-1) global_bootclus.Rd:38: Lost braces; missing escapes or markup? 38 | \emph{Step 1. Resampling:} Draw bootstrap samples S_i and T_i of size \emph{n} from the data and use the original data, X, as evaluation set E_i = X. Apply the clustering method of choice to S_i and T_i and obtain C^{S_i} and C^{T_i}. | ^ checkRd: (-1) global_bootclus.Rd:40: Lost braces; missing escapes or markup? 40 | \emph{Step 2. Mapping:} Assign each observation x_i to the closest centers of C^{S_i} and C^{T_i} using Euclidean distance, resulting in partitions C^{XS_i} and C^{XT_i}, where C^{XS_i} is the partition of the original data, X, predicted from clustering bootstrap sample S_i (same for T_i and C^{XT_i}). | ^ checkRd: (-1) global_bootclus.Rd:40: Lost braces; missing escapes or markup? 40 | \emph{Step 2. Mapping:} Assign each observation x_i to the closest centers of C^{S_i} and C^{T_i} using Euclidean distance, resulting in partitions C^{XS_i} and C^{XT_i}, where C^{XS_i} is the partition of the original data, X, predicted from clustering bootstrap sample S_i (same for T_i and C^{XT_i}). | ^ checkRd: (-1) global_bootclus.Rd:40: Lost braces; missing escapes or markup? 40 | \emph{Step 2. Mapping:} Assign each observation x_i to the closest centers of C^{S_i} and C^{T_i} using Euclidean distance, resulting in partitions C^{XS_i} and C^{XT_i}, where C^{XS_i} is the partition of the original data, X, predicted from clustering bootstrap sample S_i (same for T_i and C^{XT_i}). | ^ checkRd: (-1) global_bootclus.Rd:40: Lost braces; missing escapes or markup? 40 | \emph{Step 2. Mapping:} Assign each observation x_i to the closest centers of C^{S_i} and C^{T_i} using Euclidean distance, resulting in partitions C^{XS_i} and C^{XT_i}, where C^{XS_i} is the partition of the original data, X, predicted from clustering bootstrap sample S_i (same for T_i and C^{XT_i}). | ^ checkRd: (-1) global_bootclus.Rd:40: Lost braces; missing escapes or markup? 40 | \emph{Step 2. Mapping:} Assign each observation x_i to the closest centers of C^{S_i} and C^{T_i} using Euclidean distance, resulting in partitions C^{XS_i} and C^{XT_i}, where C^{XS_i} is the partition of the original data, X, predicted from clustering bootstrap sample S_i (same for T_i and C^{XT_i}). | ^ checkRd: (-1) global_bootclus.Rd:40: Lost braces; missing escapes or markup? 40 | \emph{Step 2. Mapping:} Assign each observation x_i to the closest centers of C^{S_i} and C^{T_i} using Euclidean distance, resulting in partitions C^{XS_i} and C^{XT_i}, where C^{XS_i} is the partition of the original data, X, predicted from clustering bootstrap sample S_i (same for T_i and C^{XT_i}). | ^ checkRd: (-1) global_bootclus.Rd:53: Lost braces; missing escapes or markup? 53 | \item{clust1}{Partitions, C^{XS_i} of the original data, X, predicted from clustering bootstrap sample S_i (see Details)} | ^ checkRd: (-1) global_bootclus.Rd:54: Lost braces; missing escapes or markup? 54 | \item{clust2}{Partitions, C^{XT_i} of the original data, X, predicted from clustering bootstrap sample T_i (see Details)} | ^ checkRd: (-1) local_bootclus.Rd:37: Lost braces; missing escapes or markup? 37 | \emph{Step 1. Resampling:} Draw bootstrap samples S_i and T_i of size n from the data and use the original data as evaluation set E_i = X. Apply a joint dimension reduction and clustering method to S_i and T_i and obtain C^{S_i} and C^{T_i}. | ^ checkRd: (-1) local_bootclus.Rd:37: Lost braces; missing escapes or markup? 37 | \emph{Step 1. Resampling:} Draw bootstrap samples S_i and T_i of size n from the data and use the original data as evaluation set E_i = X. Apply a joint dimension reduction and clustering method to S_i and T_i and obtain C^{S_i} and C^{T_i}. | ^ checkRd: (-1) local_bootclus.Rd:39: Lost braces; missing escapes or markup? 39 | \emph{Step 2. Mapping}: Assign each observation x_i to the closest centers of C^{S_i} and C^{T_i} using Euclidean distance, resulting in partitions C^{XS_i} and C^{XT_i}. | ^ checkRd: (-1) local_bootclus.Rd:39: Lost braces; missing escapes or markup? 39 | \emph{Step 2. Mapping}: Assign each observation x_i to the closest centers of C^{S_i} and C^{T_i} using Euclidean distance, resulting in partitions C^{XS_i} and C^{XT_i}. | ^ checkRd: (-1) local_bootclus.Rd:39: Lost braces; missing escapes or markup? 39 | \emph{Step 2. Mapping}: Assign each observation x_i to the closest centers of C^{S_i} and C^{T_i} using Euclidean distance, resulting in partitions C^{XS_i} and C^{XT_i}. | ^ checkRd: (-1) local_bootclus.Rd:39: Lost braces; missing escapes or markup? 39 | \emph{Step 2. Mapping}: Assign each observation x_i to the closest centers of C^{S_i} and C^{T_i} using Euclidean distance, resulting in partitions C^{XS_i} and C^{XT_i}. | ^ checkRd: (-1) local_bootclus.Rd:41: Lost braces; missing escapes or markup? 41 | \emph{Step 3. Evaluation}: Obtain the maximum Jaccard agreement between each original cluster C_k and each one of the two bootstrap clusters, C_^k'{XS_i} and C_^k'{XT_i} as measure of agreement and stability, and take the average of each pair. | ^ checkRd: (-1) local_bootclus.Rd:41: Lost braces; missing escapes or markup? 41 | \emph{Step 3. Evaluation}: Obtain the maximum Jaccard agreement between each original cluster C_k and each one of the two bootstrap clusters, C_^k'{XS_i} and C_^k'{XT_i} as measure of agreement and stability, and take the average of each pair. | ^ checkRd: (-1) local_bootclus.Rd:54: Lost braces; missing escapes or markup? 54 | \item{clust1}{Partitions, C^{XS_i} of the original data, X, predicted from clustering bootstrap sample S_i (see Details)} | ^ checkRd: (-1) local_bootclus.Rd:55: Lost braces; missing escapes or markup? 55 | \item{clust2}{Partitions, C^{XT_i} of the original data, X, predicted from clustering bootstrap sample T_i (see Details)} | ^ 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-windows-x86_64