Package: BayesLogit
Version: 0.6.1
Title: Logistic Regression
Authors@R: c(
    person("Nicholas G.", "Polson", 
           role = c("aut", "cph")),
    person("James G.", "Scott", 
           role = c("aut", "cph")),
    person("Jesse", "Windle", email = "jesse.windle@gmail.com",
           role = c("aut", "cph")),
    person("James Joseph", "Balamuta", email = "balamut2@illinois.edu", 
           role = c("aut", "cre"), 
           comment = c(ORCID = "0000-0003-2826-8458"))
    )
Description: Perform posterior simulation for binomial and
 multinomial logistic regression using the Polya-Gamma latent variable
 technique. This method is fully automatic, exact, and fast.  A routine to
 efficiently sample from the Polya-Gamma class of distributions is included
 based on Polson, Scott, and Windle (2013) <doi:10.1080/01621459.2013.829001>.
License: GPL (>= 3)
BugReports: https://github.com/tmsalab/BayesLogit/issues
URL: https://github.com/tmsalab/BayesLogit
Depends: R (>= 2.14.0)
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2019-09-24 21:16:14 UTC; jjb
Author: Nicholas G. Polson [aut, cph],
  James G. Scott [aut, cph],
  Jesse Windle [aut, cph],
  James Joseph Balamuta [aut, cre]
    (<https://orcid.org/0000-0003-2826-8458>)
Maintainer: James Joseph Balamuta <balamut2@illinois.edu>
Repository: CRAN
Date/Publication: 2019-09-25 09:40:06 UTC
