- using R version 4.4.0 alpha (2024-03-31 r86238)
- using platform: aarch64-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 13.4
- 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 ... [8s/8s] OK
See the install log for details.
- checking installed package size ... OK
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- checking DESCRIPTION meta-information ... OK
- checking top-level files ... OK
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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}.
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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}.
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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}).
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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}).
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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}).
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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}).
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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}).
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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}).
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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)}
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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)}
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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}.
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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.
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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.
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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)}
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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 PDF version of manual ... [4s/4s] OK
- DONE
Status: 1 NOTE
- using check arguments '--no-clean-on-error '