Estimation and sampling for multi-dimensional Hurdle models on a Normal density with applications to single-cell co-expression
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DESCRIPTION
NAMESPACE
README.md

README.md

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.

Vignette

A vignette with an example is located here or with vignette('singlecell-networks').

Citation

Graphical Models for Zero-Inflated Single Cell Gene Expression