bastah: Big Data Statistical Analysis for High-Dimensional Models

Big data statistical analysis for high-dimensional models is made possible by modifying lasso.proj() in 'hdi' package by replacing its nodewise-regression with sparse precision matrix computation using 'BigQUIC'.

Version: 1.0.7
Depends: R (≥ 3.2.0)
Imports: BigQuic, foreach, glmnet, lars, MASS, stats, Matrix, scalreg
Enhances: doMC, rPython
Published: 2016-06-02
Author: Ehsan Ullah [aut, cre], Reda Rawi [aut], Lukas Meier [ctb], Ruben Dezeure [ctb], Nicolai Meinshausen [ctb], Martin Maechler [ctb], Peter Buehlmann [ctb], Tingni Sun [ctb]
Maintainer: Ehsan Ullah <eullah at qf.org.qa>
License: GPL (== 2)
NeedsCompilation: no
CRAN checks: bastah results

Downloads:

Reference manual: bastah.pdf
Package source: bastah_1.0.7.tar.gz
Windows binaries: r-devel: bastah_1.0.7.zip, r-release: bastah_1.0.7.zip, r-oldrel: bastah_1.0.7.zip
OS X El Capitan binaries: r-release: bastah_1.0.7.tgz
OS X Mavericks binaries: r-oldrel: bastah_1.0.7.tgz
Old sources: bastah archive

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