Package: mlmm
Type: Package
Title: Multilevel Model for Multivariate Responses with Missing Values
Version: 1.5.0
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 (>= 3.3.0), 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
URL: https://doi.org/10.1101/153049
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-02-01 06:56:11 UTC; szen003
Author: Irene SL Zeng [aut, cre],
  Thomas Lumley [ctb]
Repository: CRAN
Date/Publication: 2018-02-01 16:10:16 UTC
