- using R Under development (unstable) (2024-06-21 r86808)
- using platform: x86_64-pc-linux-gnu
- R was compiled by gcc-13 (Debian 13.2.0-25) 13.2.0 GNU Fortran (Debian 13.2.0-25) 13.2.0
- running under: Debian GNU/Linux trixie/sid
- using session charset: UTF-8
- checking for file ‘clustrd/DESCRIPTION’ ... OK
- checking extension type ... Package
- this is package ‘clustrd’ version ‘1.4.0’
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- checking whether package ‘clustrd’ can be installed ... OK See the install log for details.
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- checking Rd files ... [0s/1s] 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)} | ^
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- checking examples ... [29s/55s] OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed global_bootclus 4.363 0.055 8.315 cluspca 3.706 0.054 5.729 plot.cluspca 3.293 0.061 7.006 plot.clusmca 3.218 0.029 6.550 clusmca 2.988 0.075 5.610
- checking PDF version of manual ... [5s/13s] OK
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- checking for non-standard things in the check directory ... OK
- DONE

Status: 1 NOTE