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 |
| 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 |
| macOS binaries: | r-release: bastah_1.0.7.tgz, r-oldrel: bastah_1.0.7.tgz |
| Old sources: | bastah archive |
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