R/HurdleNormal-package.R

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

##' Single Cell RNAseq Expression Data from Shalek (2014)
##'
##' The 1-hour LPS data for genes with at least 30% expression
##' after thresholding with \code{MAST} are reproduced here as a list containing:
##'
##' \itemize{
##' \item exprs: Genes x Cells list of log+1 transformed TPM
##' \item cdata: \code{data.frame} of cellular covariates
##' \item fdata' \code{data.frame} of transcript covariates
##' }
##' @importFrom graphics plot
"shalek2014_list"

##'  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.
##' @references https://arxiv.org/abs/1610.05857
"_PACKAGE"