Package: NHMM
Type: Package
Title: Bayesian Non-Homogeneous Markov and Mixture Models for Multiple
        Time Series
Version: 3.11
Date: 2020-07-01
Author: Tracy Holsclaw
Acknowledgements: This work was supported by a grant from the U.S.
        Department of Energy, (through the Earth System Models (EaSM)
        program.( This package was developed under the direction of
        Padhraic Smyth at the Department of Computer Science and
        Statistics at the University of California, Irvine and in
        collaboration with Andrew Robertson and Arthur Greene of the
        International Research Institute for Climate and Society at The
        Earth Institute at Columbia University.
Maintainer: Tracy Holsclaw <iamrandom@iamrandom.com>
Description: Holsclaw, Greene, Robertson, and Smyth (2017) <doi:10.1214/16-AOAS1009>. Bayesian HMM and NHMM modeling for multiple time series. The emission distribution can be mixtures of Exponential, Gamma, Poisson, or Normal distributions, and zero
    inflation is possible.
License: GPL (>= 3)
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp
Depends: BayesLogit, msm, MCMCpack, MASS
URL: http://iamrandom.com/nhmm-package
RoxygenNote: 7.1.0
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-06-30 16:31:17 UTC; iamrandom
Repository: CRAN
Date/Publication: 2020-06-30 19:30:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 09:16:22 UTC; windows
Archs: i386, x64
