Package: WpProj 0.2.3

WpProj: Linear p-Wasserstein Projections

Performs Wasserstein projections from the predictive distributions of any model into the space of predictive distributions of linear models. We utilize L1 penalties to also reduce the complexity of the model space. This package employs the methods as described in Dunipace, Eric and Lorenzo Trippa (2020) <doi:10.48550/arXiv.2012.09999>.

Authors:Eric Dunipace [aut, cre], Clemens Schmid [ctb], Espen Bernton [ctb], Mathieu Gerber [ctb], Pierre Jacob [ctb], Bin Dai [ctb], Jared Huling [ctb], Yixuan Qiu [ctb], Dominic Schuhmacher [ctb], Nicolas Bonneel [ctb]

WpProj_0.2.3.tar.gz
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WpProj_0.2.3.tgz(r-4.6-x86_64)WpProj_0.2.3.tgz(r-4.6-arm64)WpProj_0.2.3.tgz(r-4.5-x86_64)WpProj_0.2.3.tgz(r-4.5-arm64)
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WpProj_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
WpProj/json (API)
NEWS

# Install 'WpProj' in R:

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

Bug tracker:https://github.com/ericdunipace/wpproj/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

2.70 score 6 scripts 144 downloads 16 exports 59 dependencies

Last updated from:09e7420df8. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	366
linux-devel-x86_64	OK	348
source / vignettes	OK	268
linux-release-arm64	OK	320
linux-release-x86_64	OK	383
macos-release-arm64	OK	197
macos-release-x86_64	OK	644
macos-oldrel-arm64	OK	212
macos-oldrel-x86_64	OK	588
windows-devel	OK	379
windows-release	OK	334
windows-oldrel	OK	315
wasm-release	OK	182

Exports:binary_program_method_options combine.WPR2 distCompare HC L0_method_options L1_method_options L1_penalty_options plot ridgePlot simulated_annealing_method_options stepwise_method_options transport_options wasserstein WpProj WPR2 WPVI

Dependencies:approxOT backports BH bigmemory bigmemory.sri checkmate cli codetools data.table digest doParallel doRNG dplyr ECOSolveR foreach generics glmnet glue hqreg hrqglas iterators lattice lifecycle lpSolveAPI magrittr MASS Matrix MatrixModels oem pillar pkgconfig plyr quantreg R6 rbibutils Rcpp RcppArmadillo RcppCGAL RcppEigen RcppProgress Rdpack registry rlang rngtools ROI ROI.plugin.ecos ROI.plugin.lpsolve rqPen RSpectra shape slam SparseM survival tibble tidyselect utf8 uuid vctrs withr

Help page	Topics
Options For Use With the Binary Program Method	binary_program_method_options
A Function to Combine W_p R ^2 Objects	combine.WPR2
Compares Optimal Transport Distances Between WpProj and Original Models	distCompare
Run the Hahn-Carvalho Method	HC
Options For Use With the L0 Method	L0_method_options
Options For Use With the L1 Method	L1_method_options
Recognized L1 Penalties	L1_penalty_options
Plot Function for W_p R^2 Objects	plot,WPR2-method
Ridge Plots for a Range of Coefficients	ridgePlot
Options For Use With the Simulated Annealing Selection Method	simulated_annealing_method_options
Options For Use With the Stepwise Selection Method	stepwise_method_options
p-Wasserstein Linear Projections	WpProj
W_p R^2 Function to Evaluate Performance	WPR2 WPR2,ANY,distcompare-method WPR2,ANY,list-method WPR2,ANY,matrix-method WPR2,ANY,WpProj-method
p-Wasserstein Variable Importance	WPVI

Package: WpProj 0.2.3

WpProj: Linear p-Wasserstein Projections

Citation

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)