DESCRIPTION

Package: walker
Type: Package
Title: Bayesian Generalized Linear Models with Time-Varying Coefficients
Version: 1.0.10
Description: Efficient Bayesian generalized linear models with time-varying coefficients 
    as in Helske (2022, <doi:10.1016/j.softx.2022.101016>). Gaussian, Poisson, and binomial 
    observations are supported. The Markov chain Monte Carlo (MCMC) computations are done using 
    Hamiltonian Monte Carlo provided by Stan, using a state space representation 
    of the model in order to marginalise over the coefficients for efficient sampling. 
    For non-Gaussian models, the package uses the importance sampling type estimators based on 
    approximate marginal MCMC as in Vihola, Helske, Franks (2020, <doi:10.1111/sjos.12492>).
Authors@R: 
    person(given = "Jouni",
           family = "Helske",
           role = c("aut", "cre"),
           email = "jouni.helske@iki.fi",
           comment = c(ORCID = "0000-0001-7130-793X"))
License: GPL (>= 3)
Suggests: 
    diagis,
    gridExtra,
    knitr (>= 1.11),
    rmarkdown (>= 0.8.1),
    testthat
Depends:
    bayesplot,
    R (>= 3.4.0),
    rstan (>= 2.26.0)
Imports:
    coda,
    dplyr,
    Hmisc,
    ggplot2,
    KFAS,
    loo,
    methods,
    Rcpp (>= 0.12.9),
    RcppParallel,
    rlang,
    rstantools (>= 2.0.0)
LinkingTo:
    BH (>= 1.66.0),
    Rcpp (>= 0.12.9), 
    RcppArmadillo, 
    RcppEigen (>= 0.3.3.3.0),
    RcppParallel,
    rstan (>= 2.26.0), 
    StanHeaders (>= 2.26.0)
SystemRequirements: GNU make 
Biarch: true
VignetteBuilder: knitr
RoxygenNote: 7.3.1
ByteCompile: true
URL: https://github.com/helske/walker
BugReports: https://github.com/helske/walker/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)