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>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: bltm results


Reference manual: bltm.pdf
Package source: bltm_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bltm_0.1.0.tgz, r-release (x86_64): bltm_0.1.0.tgz, r-oldrel: bltm_0.1.0.tgz


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