hjunwoo/slimy: slimy: (Monte Carlo) SampLIng-based Method for causalitY

Gibbs sampling-based inference of directed acyclic graph (DAG) underlying discrete/continuous data. Handles non-negative count data modeled by Poisson log-normal distribution.

Getting started

Package details

MaintainerJun Woo <jwoo@umn.edu>
LicenseGPL (>= 2)
Version0.6.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("hjunwoo/slimy")
hjunwoo/slimy documentation built on May 26, 2019, 3:32 a.m.