clrdag: Constrained Likelihood Ratio Tests for a Directed Acyclic Graph

Provides MLEdag() for constrained maximum likelihood estimation and likelihood ratio test of a large directed acyclic graph. The algorithms are described in the paper by Li, Shen, and Pan (2019) <doi:10.1080/01621459.2019.1623042>.

Version: 0.6.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.1)
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-06-04
Author: Chunlin Li, Xiaotong Shen, Wei Pan
Maintainer: Chunlin Li <li000007 at umn.edu>
BugReports: https://github.com/chunlinli/clrdag/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/chunlinli/clrdag
NeedsCompilation: yes
CRAN checks: clrdag results

Downloads:

Reference manual: clrdag.pdf
Package source: clrdag_0.6.0.tar.gz
Windows binaries: r-devel: clrdag_0.6.0.zip, r-release: clrdag_0.6.0.zip, r-oldrel: clrdag_0.6.0.zip
OS X binaries: r-release: clrdag_0.6.0.tgz, r-oldrel: clrdag_0.6.0.tgz

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