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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 |
| DOI: | 10.32614/CRAN.package.bltm |
| 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 |
| 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 |
| macOS binaries: | r-release (arm64): bltm_0.1.0.tgz, r-oldrel (arm64): bltm_0.1.0.tgz, r-release (x86_64): bltm_0.1.0.tgz, r-oldrel (x86_64): bltm_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.