Package: plsVarSel 0.10.0

plsVarSel: Variable Selection in Partial Least Squares

Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.

Authors:Kristian Hovde Liland [aut, cre], Tahir Mehmood [ctb], Solve Sæbø [ctb]

plsVarSel_0.10.0.tar.gz
plsVarSel_0.10.0.zip(r-4.7)plsVarSel_0.10.0.zip(r-4.6)plsVarSel_0.10.0.zip(r-4.5)
plsVarSel_0.10.0.tgz(r-4.6-any)plsVarSel_0.10.0.tgz(r-4.5-any)
plsVarSel_0.10.0.tar.gz(r-4.7-any)plsVarSel_0.10.0.tar.gz(r-4.6-any)
plsVarSel_0.10.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
plsVarSel/json (API)

# Install 'plsVarSel' in R:

install.packages('plsVarSel', repos = c('https://khliland.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/khliland/plsvarsel/issues

On CRAN:

6.43 score 5 stars 5 packages 71 scripts 702 downloads 12 mentions 31 exports 17 dependencies

Last updated from:9b24f6c871. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	131
source / vignettes	OK	143
linux-release-x86_64	OK	162
macos-release-arm64	OK	95
macos-oldrel-arm64	OK	114
windows-devel	OK	95
windows-release	OK	100
windows-oldrel	OK	101
wasm-release	OK	112

Exports:bve_pls covSel filterPLSR FRC ga_pls ipw_pls ipw_pls_legacy lda_from_pls lda_from_pls_cv LW mcuve_pls mRMR mvrV myImagePlot PVR PVS RC rep_pls setDA shaving simulate_classes simulate_data sMC spa_pls SR stpls T2_pls truncation URC VIP WVC_pls

Dependencies:bdsmatrix cli crayon genalg glue hms lifecycle MASS mvtnorm pkgconfig pls praznik prettyunits progress R6 rlang vctrs

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Backward variable elimination PLS (BVE-PLS)	bve_pls
Covariance Selection - CovSel	covSel
Optimisation of filters for Partial Least Squares	filterPLSR
Genetic algorithm combined with PLS regression (GA-PLS)	ga_pls
Iterative predictor weighting PLS (IPW-PLS)	ipw_pls ipw_pls_legacy
LDA/QDA classification from PLS model	lda_from_pls
Cross-validated LDA/QDA classification from PLS model	lda_from_pls_cv
Uninformative variable elimination in PLS (UVE-PLS)	mcuve_pls
Multivariate regression function	mvrV
Matrix plotting	myImagePlot
Variable selection in Partial Least Squares	plsVarSel
Principal Variable Regression (PVR)	PVR
Principal Variable Selection (PVS)	PVS
Regularized elimination procedure in PLS	rep_pls
Set chosen Discriminant Analysis	setDA
Repeated shaving of variables	plot.shaved print.shaved shaving
Simulate classes	simulate_classes simulate_data
Sub-window permutation analysis coupled with PLS (SwPA-PLS)	spa_pls
Soft-Threshold PLS (ST-PLS)	stpls
Summary method for stpls and trunc	summary.mvrV
Hotelling's T^2 based variable selection in PLS - T^2-PLS)	T2_pls
Trunction PLS	truncation
Filter methods for variable selection with Partial Least Squares.	FRC LW mRMR RC sMC SR URC VIP
Weighted Variable Contribution in PLS (WVC-PLS)	WVC_pls