curso-r/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.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://github.com/curso-r/bltm |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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