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nsprcomp
View on CRAN: Click
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Download and install nsprcomp package within the R console
Install from CRAN:
install.packages("nsprcomp")
Install from Github:
library("remotes")
install_github("cran/nsprcomp")
Install by package version:
library("remotes")
install_version("nsprcomp", "0.5.1-2")
Attach the package and use:
library("nsprcomp")
Maintained by
Christian Sigg
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-04-16
Latest Update: 2018-06-05
Description:
Two methods for performing a constrained principal
component analysis (PCA), where non-negativity and/or sparsity
constraints are enforced on the principal axes (PAs). The
function 'nsprcomp' computes one principal component (PC) after
the other. Each PA is optimized such that the corresponding PC
has maximum additional variance not explained by the previous
components. In contrast, the function 'nscumcomp' jointly
computes all PCs such that the cumulative variance is maximal.
Both functions have the same interface as the 'prcomp' function
from the 'stats' package (plus some extra parameters), and both
return the result of the analysis as an object of class
'nsprcomp', which inherits from 'prcomp'. See
and Sigg et al. (2008) for more
details.
How to cite:
Christian Sigg (2013). nsprcomp: Non-Negative and Sparse PCA. R package version 0.5.1-2, https://cran.r-project.org/web/packages/nsprcomp
Previous versions and publish date:
Other packages that cited nsprcomp R package
View nsprcomp citation profile
Other R packages that nsprcomp depends,
imports, suggests or enhances
Functions, R codes and Examples using
the nsprcomp R package
Some associated functions: asdev . cardinality . nscumcomp . nsprcomp . peav .
Some associated R codes: asdev.R . cardinality.R . normv.R . nscumcomp.R . nsprcomp.R . peav.R . Full nsprcomp package functions and examples
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