bioc-issue-bot
commented
6 years ago Hi @ireneslzeng
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: mlmm
Type: Package
Title: Multilevel Model for Multivariate Responses with Missing Values
Version: 2.5.0
Date: 2018-1-2
Authors@R: c(person("Irene SL","Zeng",email="i.zeng@auckland.ac.nz", role = c("aut", "cre")),person("Thomas","Lumley",email="t.lumley@auckland.ac.nz",role="ctb"))
Description: To conduct Bayesian inference regression for responses with
multilevel explanatory variables and missing values; It uses function from
'Stan', a software to implement posterior sampling using Hamiltonian MC and
its variation Non-U-Turn algorithms. It implements the posterior sampling of
regression coefficients from the multilevel regression models. The package has
two main functions to handle not-missing-at-random missing responses and left-
censored with not-missing-at random responses. The purpose is to provide a
similar format as the other R regression functions but using 'Stan' models.
Maintainer: Irene SL Zeng <i.zeng@auckland.ac.nz>
License: GPL-2
Depends:
R (>= 3.5.0),
Rcpp (>= 0.12.12),
methods,
stats
Imports:
rstan (>= 2.16.2),
rstantools (>= 1.3.0),
MASS,
Matrix,
stats4,
ggplot2
LinkingTo: StanHeaders (>= 2.16.0.1), rstan (>= 2.16.2), BH (>= 1.65.0.1), Rcpp
(>= 0.12.12), RcppEigen (>= 0.3.3.3.0)
Suggests:
testthat,
knitr,
rmarkdown
URL: https://doi.org/10.1101/153049
RoxygenNote: 6.0.1
biocViews: Bayesian,CopyNumberVariation,Classification,Regression,MassSpectrometry,Proteomics,Software
VignetteBuilder: knitr
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ireneslzeng
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