About Anaconda Help Download Anaconda
Sign In
Anaconda.cloud

conda-forge / packages / r-ccdralgorithm

Implementation of the CCDr (Concave penalized Coordinate Descent with reparametrization) structure learning algorithm as described in Aragam and Zhou (2015) <http://www.jmlr.org/papers/v16/aragam15a.html>. This is a fast, score-based method for learning Bayesian networks that uses sparse regularization and block-cyclic coordinate descent.

copied from cf-staging / r-ccdralgorithm

Filters
Type Size Name Uploaded Downloads Labels
conda 143.1 kB | win-64/r-ccdralgorithm-0.0.5-r36h796a38f_1001.tar.bz2  5 years and 10 months ago 1339 main cf202003
conda 142.1 kB | win-64/r-ccdralgorithm-0.0.5-r35h796a38f_1001.tar.bz2  5 years and 10 months ago 1335 main cf202003
conda 133.3 kB | osx-64/r-ccdralgorithm-0.0.5-r36hf99fc2c_1001.tar.bz2  5 years and 10 months ago 345 main cf202003
conda 186.8 kB | osx-64/r-ccdralgorithm-0.0.5-r35hf99fc2c_1001.tar.bz2  5 years and 10 months ago 341 main cf202003
conda 139.7 kB | linux-64/r-ccdralgorithm-0.0.5-r35h0357c0b_1001.tar.bz2  5 years and 10 months ago 4009 main cf202003
conda 140.4 kB | linux-64/r-ccdralgorithm-0.0.5-r36h0357c0b_1001.tar.bz2  5 years and 10 months ago 3947 main cf202003
conda 133.1 kB | osx-64/r-ccdralgorithm-0.0.5-r351h466af19_1000.tar.bz2  6 years and 4 months ago 343 main gcc7 cf202003
conda 141.9 kB | win-64/r-ccdralgorithm-0.0.5-r351h796a38f_1000.tar.bz2  6 years and 4 months ago 1564 main cf202003 cf201901
conda 139.6 kB | linux-64/r-ccdralgorithm-0.0.5-r351h29659fb_1000.tar.bz2  6 years and 4 months ago 4669 main gcc7 cf202003
conda 175.3 kB | osx-64/r-ccdralgorithm-0.0.5-r351h9d2a408_0.tar.bz2  6 years and 4 months ago 336 main cf202003 cf201901
conda 142.0 kB | win-64/r-ccdralgorithm-0.0.5-r351h796a38f_0.tar.bz2  6 years and 4 months ago 1574 main cf202003 cf201901
conda 195.2 kB | linux-64/r-ccdralgorithm-0.0.5-r351h9d2a408_0.tar.bz2  6 years and 4 months ago 4679 main cf202003 cf201901
© 2025 Anaconda, Inc. All Rights Reserved. (v4.1.0) Legal | Privacy Policy