bltm: Bayesian Latent Threshold Modeling

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.

Version: 0.1.0
Imports: mvnfast, Rfast
Published: 2019-07-18
Author: Julio Trecenti [cre], Fernando Tassinari [aut], Daniel Falbel [ctb]
Maintainer: Julio Trecenti <julio.trecenti at gmail.com>
BugReports: https://github.com/curso-r/bltm/issues
License: MIT + file LICENSE
URL: https://github.com/curso-r/bltm
NeedsCompilation: no
Materials: README
CRAN checks: bltm results

Downloads:

Reference manual: bltm.pdf
Package source: bltm_0.1.0.tar.gz
Windows binaries: r-devel: bltm_0.1.0.zip, r-release: bltm_0.1.0.zip, r-oldrel: bltm_0.1.0.zip
OS X binaries: r-release: bltm_0.1.0.tgz, r-oldrel: bltm_0.1.0.tgz

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