• using R version 4.4.0 (2024-04-24)
• using platform: x86_64-apple-darwin20
• R was compiled by     Apple clang version 14.0.0 (clang-1400.0.29.202)     GNU Fortran (GCC) 12.2.0
• running under: macOS Ventura 13.3.1
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• this is package ‘clustrd’ version ‘1.4.0’
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• checking Rd files ... [0s/0s] 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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• DONE Status: 1 NOTE
• using check arguments '--no-clean-on-error '