DESCRIPTION

Package: HurdleNormal
Title: 'Estimation and sampling for multi-dimensional Hurdle models on a Normal density with applications to single-cell co-expression'
Version: 0.98.8
Authors@R: person("Andrew", "McDavid", , "Andrew_McDavid@urmc.rochester.edu", role = c("aut", "cre"))
Description: 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.
Depends:
    R (>= 3.4.0)
License: GPL-3
LazyData: true
Imports:
    glmnet,
    stringr,
    Rcpp (>= 0.12.10),
    RcppArmadillo,
    numDeriv,
    nloptr,
    ggplot2(>= 3.0.0),
    reshape2,
    reshape,
    data.table,
    Matrix,
    methods,
    stats,
    utils,
    plyr,
    MASS
Suggests:
    testthat,
    parallel,
    directlabels,
    knitr,
    rmarkdown,
    huge,
    igraph,
    netbenchmark,
    Mus.musculus,
    MAST,
    DT,
    Hmisc,
    GGally,
    dtplyr,
    Cairo,
    dplyr,
    purrr
LinkingTo: RcppArmadillo,
    Rcpp
RoxygenNote: 7.1.2
VignetteBuilder: knitr
Encoding: UTF-8