Package: robsel 0.1.0

Chau Tran

robsel: Robust Selection Algorithm

An implementation of algorithms for estimation of the graphical lasso regularization parameter described in Pedro Cisneros-Velarde, Alexander Petersen and Sang-Yun Oh (2020) <http://proceedings.mlr.press/v108/cisneros20a.html>.

Authors:Chau Tran [aut, cre], Sang-Yun Oh [aut], Pedro Cisneros-Velarde [aut], Alexander Petersen [aut]

robsel_0.1.0.tar.gz
robsel_0.1.0.zip(r-4.7-x86_64)robsel_0.1.0.zip(r-4.7-arm64)robsel_0.1.0.zip(r-4.6-x86_64)robsel_0.1.0.zip(r-4.6-arm64)robsel_0.1.0.zip(r-4.5-x86_64)
robsel_0.1.0.tgz(r-4.6-x86_64)robsel_0.1.0.tgz(r-4.6-arm64)robsel_0.1.0.tgz(r-4.5-x86_64)robsel_0.1.0.tgz(r-4.5-arm64)
robsel_0.1.0.tar.gz(r-4.7-arm64)robsel_0.1.0.tar.gz(r-4.7-x86_64)robsel_0.1.0.tar.gz(r-4.6-arm64)robsel_0.1.0.tar.gz(r-4.6-x86_64)
robsel_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
robsel/json (API)

# Install 'robsel' in R:

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

Bug tracker:https://github.com/dddlab/robust-selection/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

4.20 score 2 stars 16 scripts 245 downloads 2 exports 3 dependencies

Last updated from:56b97e9c43. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	113
linux-devel-x86_64	OK	116
source / vignettes	OK	241
linux-release-arm64	OK	112
linux-release-x86_64	OK	164
macos-release-arm64	OK	168
macos-release-x86_64	OK	431
macos-oldrel-arm64	OK	219
macos-oldrel-x86_64	OK	301
windows-devel-arm64	OK	340
windows-devel-x86_64	OK	119
windows-release-arm64	OK	347
windows-release-x86_64	OK	100
windows-oldrel-x86_64	OK	97
wasm-release	OK	117