Package: wflsa 1.2.1

Ronja Foraita

wflsa: Weighted Fused LASSO Signal Approximator ('wFLSA')

A package for computing the Weighted Fused LASSO Signal Approximator (wFLSA).

Authors:Louis Dijkstra [aut], Ronja Foraita [cre], Leibniz Institute for Prevention Research and Epidemiology - BIPS [cph, fnd], Deutsche Forschungsgemeinschaft [fnd]

wflsa_1.2.1.tar.gz
wflsa_1.2.1.zip(r-4.7)wflsa_1.2.1.zip(r-4.6)wflsa_1.2.1.zip(r-4.5)
wflsa_1.2.1.tgz(r-4.6-x86_64)wflsa_1.2.1.tgz(r-4.6-arm64)wflsa_1.2.1.tgz(r-4.5-x86_64)wflsa_1.2.1.tgz(r-4.5-arm64)
wflsa_1.2.1.tar.gz(r-4.7-arm64)wflsa_1.2.1.tar.gz(r-4.7-x86_64)wflsa_1.2.1.tar.gz(r-4.6-arm64)wflsa_1.2.1.tar.gz(r-4.6-x86_64)
wflsa_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
wflsa/json (API)

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

Bug tracker:https://github.com/bips-hb/wflsa/issues

Pkgdown/docs site:https://bips-hb.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

fused-lassolassolasso-regressioncpp

2.00 score 3 scripts 2 exports 1 dependencies

Last updated from:85f3f50cc8. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK105
linux-devel-x86_64OK108
source / vignettesOK154
linux-release-arm64OK115
linux-release-x86_64OK101
macos-release-arm64OK97
macos-release-x86_64OK176
macos-oldrel-arm64OK80
macos-oldrel-x86_64OK195
windows-develOK131
windows-releaseOK89
windows-oldrelOK131
wasm-releaseOK122

Exports:calculate_diagonal_matrix_Awflsa

Dependencies:Rcpp