DESCRIPTION

Package: BNMPD
Title: Bayesian Nonparametric Multivariate Panel Data
Version: 0.0.0.9000
Authors@R:
    person(given = "Ilya",
           family = "Zarubin",
           role = c("aut", "cre"),
           email = "zarubin@wiso.uni-koeln.de")
Description: Implements estimation of Bayesian nonparametric multivariate 
    panel data models for multivariate response/dependent variable
    settings. Estimation is performed using Particle Gibbs with ancestor
    sampling which is a method combining MCMC (here, Gibbs sampling) and
    SMC methods (here, a standard bootstrap particle filter and a particle
    EIS filter) to sample from the high dimensional and highly nonlinear
    posterior densities of model parameters and latent state variables.
License: GPL (>= 2)
URL: https://github.com/IlyaZar/BNMPD
BugReports: https://github.com/IlyaZar/BNMPD
Depends:
    R (>= 3.5)
Imports:
    stats,
    abind,
    MASS,
    MGLM,
    utils,
    Rcpp,
    R6,
    magrittr (>= 1.5),
    rlang,
    tibble,
    yaml,
    jsonlite,
    snow,
    rlecuyer,
    dplyr,
    Rmpi
Suggests:
    crayon,
    withr,
    devtools (>= 2.2.2.9000),
    testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
LinkingTo:
    Rcpp,
    RcppArmadillo
Config/testthat/edition: 3