Last updated on 2024-11-21 19:53:01 CET.
Package | NOTE | OK |
---|---|---|
clustrd | 10 | 3 |
idm | 10 | 3 |
Current CRAN status: NOTE: 10, OK: 3
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}.
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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}).
| ^
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}.
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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.
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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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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-macos-x86_64, r-release-windows-x86_64
Current CRAN status: NOTE: 10, OK: 3
Version: 1.8.3
Check: Rd files
Result: NOTE
checkRd: (-1) add_es.Rd:16: Lost braces; missing escapes or markup?
16 | \code{u} {Left eigenvectors} \cr
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checkRd: (-1) add_es.Rd:17: Lost braces; missing escapes or markup?
17 | \code{v} {Right eigenvectors} \cr
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checkRd: (-1) add_es.Rd:18: Lost braces; missing escapes or markup?
18 | \code{m} {Number of cases} \cr
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checkRd: (-1) add_es.Rd:19: Lost braces; missing escapes or markup?
19 | \code{d} {Eigenvalues} \cr
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checkRd: (-1) add_es.Rd:20: Lost braces; missing escapes or markup?
20 | \code{orgn} {Data mean} \cr
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checkRd: (-1) add_es.Rd:24: Lost braces; missing escapes or markup?
24 | \code{u} {Left eigenvectors} \cr
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checkRd: (-1) add_es.Rd:25: Lost braces; missing escapes or markup?
25 | \code{v} {Right eigenvectors} \cr
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checkRd: (-1) add_es.Rd:26: Lost braces; missing escapes or markup?
26 | \code{m} {Number of cases} \cr
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checkRd: (-1) add_es.Rd:27: Lost braces; missing escapes or markup?
27 | \code{d} {Eigenvalues} \cr
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checkRd: (-1) add_es.Rd:28: Lost braces; missing escapes or markup?
28 | \code{orgn} {Data mean} \cr
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checkRd: (-1) i_pca.Rd:24: Lost braces; missing escapes or markup?
24 | \code{u} {Left eigenvectors} \cr
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checkRd: (-1) i_pca.Rd:25: Lost braces; missing escapes or markup?
25 | \code{v} {Right eigenvectors} \cr
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checkRd: (-1) i_pca.Rd:26: Lost braces; missing escapes or markup?
26 | \code{m} {Number of cases} \cr
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checkRd: (-1) i_pca.Rd:27: Lost braces; missing escapes or markup?
27 | \code{d} {Eigenvalues} \cr
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checkRd: (-1) i_pca.Rd:28: Lost braces; missing escapes or markup?
28 | \code{orgn} {Data mean} \cr}
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checkRd: (-1) update.i_pca.Rd:24: Lost braces; missing escapes or markup?
24 | \code{u} {Left eigenvectors} \cr
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checkRd: (-1) update.i_pca.Rd:25: Lost braces; missing escapes or markup?
25 | \code{v} {Right eigenvectors} \cr
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checkRd: (-1) update.i_pca.Rd:26: Lost braces; missing escapes or markup?
26 | \code{m} {Number of cases} \cr
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checkRd: (-1) update.i_pca.Rd:27: Lost braces; missing escapes or markup?
27 | \code{d} {Eigenvalues} \cr
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checkRd: (-1) update.i_pca.Rd:28: Lost braces; missing escapes or markup?
28 | \code{orgn} {Data mean} \cr}
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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-macos-x86_64, r-release-windows-x86_64
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.