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bootSVD
View on CRAN: Click
here
Download and install bootSVD package within the R console
Install from CRAN:
install.packages("bootSVD")
Install from Github:
library("remotes")
install_github("cran/bootSVD")
Install by package version:
library("remotes")
install_version("bootSVD", "1.1")
Attach the package and use:
library("bootSVD")
Maintained by
Aaron Fisher
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-07-21
Latest Update: 2021-02-02
Description:
Implements fast, exact bootstrap Principal Component Analysis and
Singular Value Decompositions for high dimensional data, as described in
(see also ). For data matrices that are too large to operate
on in memory, users can input objects with class 'ff' (see the 'ff'
package), where the actual data is stored on disk. In response, this
package will implement a block matrix algebra procedure for calculating the
principal components (PCs) and bootstrap PCs. Depending on options set by
the user, the 'parallel' package can be used to parallelize the calculation of
the bootstrap PCs.
How to cite:
Aaron Fisher (2014). bootSVD: Fast, Exact Bootstrap Principal Component Analysis for High Dimensional Data. R package version 1.1, https://cran.r-project.org/web/packages/bootSVD. Accessed 28 Jan. 2025.
Previous versions and publish date:
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Other R packages that bootSVD depends,
imports, suggests or enhances
Complete documentation for bootSVD
Functions, R codes and Examples using
the bootSVD R package
Some associated functions: As2Vs . EEG_leadingV . EEG_mu . EEG_score_var . bootPCA . bootSVD . bootSVD_LD . fastSVD . ffmatrixmult . genBootIndeces . genQ . getMomentsAndMomentCI . os . qrSVD . reindexMatricesByK . reindexVectorsByK . simEEG .
Some associated R codes: bootstrap_functions.R . Full bootSVD package functions and examples
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