Package: walker
Type: Package
Title: Bayesian Regression with Time-Varying Coefficients
Version: 0.2.0
Date: 2017-07-11
Author: Jouni Helske
Maintainer: Jouni Helske <jouni.helske@iki.fi>
Description: Bayesian dynamic regression models where the regression 
    coefficients can vary over time as random 
    walks. Gaussian, Poisson, and binomial observations are supported. 
    The Markov chain Monte Carlo 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.
License: GPL (>= 2)
Suggests: diagis, gridExtra, knitr (>= 1.11), rmarkdown (>= 0.8.1),
        testthat
Depends: R (>= 3.0.2), Rcpp (>= 0.12.9), bayesplot, rstan (>= 2.16.2)
Imports: dplyr, ggplot2, KFAS, methods
LinkingTo: StanHeaders (>= 2.16.0), rstan (>= 2.16.2), BH (>=
        1.62.0.1), Rcpp (>= 0.12.9), RcppArmadillo, RcppEigen (>=
        0.3.3.0)
VignetteBuilder: knitr
SystemRequirements: C++11
RoxygenNote: 6.0.1
ByteCompile: true
NeedsCompilation: yes
Packaged: 2017-07-12 07:49:47 UTC; jouni
Repository: CRAN
Date/Publication: 2017-07-12 14:26:08 UTC
