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✨
DESCRIPTION
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:

fused-lasso lasso lasso-regression cpp

2.00 score 3 scripts 2 exports 1 dependencies

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

Target	Result	Time
linux-devel-arm64	OK	100
linux-devel-x86_64	OK	99
source / vignettes	OK	199
linux-release-arm64	OK	101
linux-release-x86_64	OK	107
macos-release-arm64	OK	133
macos-release-x86_64	OK	285
macos-oldrel-arm64	OK	124
macos-oldrel-x86_64	OK	285
windows-devel	OK	85
windows-release	OK	91
windows-oldrel	OK	95
wasm-release	OK	93

Exports:calculate_diagonal_matrix_A wflsa

Dependencies:Rcpp

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Determine the Diagonal of Matrix A	calculate_diagonal_matrix_A
Solving Generalized LASSO with fixed lambda = 1	genlassoRcpp
Print Function for the Weighted Fused LASSO Signal Approximator (wFLSA) fit object	print.wflsa.fit
The Weighted Fused Lasso Signal Approximator (wFLSA) Algorithm	wflsa