Package: metropolis
Title: The Metropolis Algorithm
Version: 0.1.8
Date: 2020-09-21
Authors@R: 
    person(given = "Alexander",
           family = "Keil",
           role = c("aut", "cre"),
           email = "akeil@unc.edu")
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <akeil@unc.edu>
Description: Learning and using the Metropolis algorithm for Bayesian
        fitting of a generalized linear model. The package vignette
        includes examples of hand-coding a logistic model using several
        variants of the Metropolis algorithm. The package also contains
        R functions for simulating posterior distributions of Bayesian
        generalized linear model parameters using guided, adaptive,
        guided-adaptive and random walk Metropolis algorithms. The
        random walk Metropolis algorithm was originally described in
        Metropolis et al (1953); <doi:10.1063/1.1699114>.
License: GPL (>= 2)
Depends: coda, R (>= 3.5.0)
Imports: stats
Suggests: knitr, markdown
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2026-07-02 09:22:02 UTC; root
Repository: https://alexpkeil1.r-universe.dev
Date/Publication: 2020-09-21 20:20:07 UTC
RemoteUrl: https://github.com/cran/metropolis
RemoteRef: HEAD
RemoteSha: dfbd96a2d1943ece1fb063c79aa3b46b2faac701