* using log directory 'd:/Rcompile/CRANpkg/local/4.5/clustrd.Rcheck'
* using R Under development (unstable) (2025-02-27 r87839 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 13.3.0
    GNU Fortran (GCC) 13.3.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* checking for file 'clustrd/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'clustrd' version '1.4.0'
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'clustrd' can be installed ... OK
See 'https://www.r-project.org/nosvn/R.check/r-devel-windows-x86_64/clustrd-00install.html' for details.
* checking installed package size ... OK
* checking package directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
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* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... [4s] OK
* checking whether the package can be loaded with stated dependencies ... [3s] OK
* checking whether the package can be unloaded cleanly ... [4s] OK
* checking whether the namespace can be loaded with stated dependencies ... [3s] OK
* checking whether the namespace can be unloaded cleanly ... [4s] OK
* checking loading without being on the library search path ... [4s] OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
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* checking R code for possible problems ... [17s] OK
* checking Rd files ... [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)}
       |                             ^
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of 'data' directory ... OK
* checking data for non-ASCII characters ... [0s] OK
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* checking examples ... [27s] OK
* checking PDF version of manual ... [21s] OK
* checking HTML version of manual ... [4s] OK
* DONE
Status: 1 NOTE