amcdavid/HurdleNormal: 'Estimation and sampling for multi-dimensional Hurdle models on a Normal density with applications to single-cell co-expression'

A Hurdle model is a modification of a distribution at zero. This package provides routines to estimate and sample from multivariate Hurdle models on a Normal density. These are distributions that are conditionally Normal, but with singularities along the coordinate axes, so generalize a univariate zero-inflated distribution. The main functionality is to estimate graphical models using group-lasso penalized neighborhood selection, and has applications to modeling gene-gene interactions in single cell gene expression.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.98.7
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("amcdavid/HurdleNormal")
amcdavid/HurdleNormal documentation built on Jan. 25, 2020, 6:30 p.m.