Package: nsprcomp 0.5.1-2

nsprcomp: Non-Negative and Sparse PCA

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 <https://sigg-iten.ch/learningbits/2013/05/27/nsprcomp-is-on-cran/> and Sigg et al. (2008) <doi:10.1145/1390156.1390277> for more details.

Authors:Christian Sigg [aut, cre], R Core team [ctb]

nsprcomp_0.5.1-2.tar.gz
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nsprcomp.pdf |nsprcomp.html
nsprcomp/json (API)

# Install 'nsprcomp' in R:
install.packages('nsprcomp', repos = c('https://chrsigg.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/chrsigg/nsprcomp/issues

On CRAN:

4.77 score 9 stars 1 packages 22 scripts 314 downloads 2 mentions 5 exports 0 dependencies

Last updated 6 years agofrom:036d20b2eb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winOKNov 03 2024
R-4.5-linuxOKNov 03 2024
R-4.4-winOKNov 03 2024
R-4.4-macOKNov 03 2024
R-4.3-winOKNov 03 2024
R-4.3-macOKNov 03 2024

Exports:asdevcardinalitynscumcompnsprcomppeav

Dependencies: