Package: bltm
Title: Bayesian Latent Threshold Modeling
Version: 0.1.0
Authors@R: c(
    person("Julio", "Trecenti", email = "julio.trecenti@gmail.com", role = "cre"),
    person("Fernando", "Tassinari", email = "fernandotm@al.insper.edu.br", role = "aut"),
    person("Daniel", "Falbel", email = "dfalbel@gmail.com", role = "ctb"))
Description: Fits latent threshold model for simulated data
    and describes how to adjust model using real data. Implements algorithm
    proposed by Nakajima and West (2013) <doi:10.1080/07350015.2012.747847>. 
    This package has a function to generate data, a function to configure 
    priors and a function to fit the model. Examples may be checked inside 
    the demonstration files.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/curso-r/bltm
BugReports: https://github.com/curso-r/bltm/issues
Imports: mvnfast, Rfast
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-13 18:39:53 UTC; jt
Author: Julio Trecenti [cre],
  Fernando Tassinari [aut],
  Daniel Falbel [ctb]
Maintainer: Julio Trecenti <julio.trecenti@gmail.com>
Repository: CRAN
Date/Publication: 2019-07-18 06:36:35 UTC
Built: R 4.4.0; ; 2024-04-29 14:39:00 UTC; unix
