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hmclearn: Fit Statistical Models Using Hamiltonian Monte Carlo

Provide users with a framework to learn the intricacies of the Hamiltonian Monte Carlo algorithm with hands-on experience by tuning and fitting their own models. All of the code is written in R. Theoretical references are listed below:. Neal, Radford (2011) "Handbook of Markov Chain Monte Carlo" ISBN: 978-1420079418, Betancourt, Michael (2017) "A Conceptual Introduction to Hamiltonian Monte Carlo" <doi:10.48550/arXiv.1701.02434>, Thomas, S., Tu, W. (2020) "Learning Hamiltonian Monte Carlo in R" <doi:10.48550/arXiv.2006.16194>, Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) "Bayesian Data Analysis" ISBN: 978-1439840955, Agresti, Alan (2015) "Foundations of Linear and Generalized Linear Models ISBN: 978-1118730034, Pinheiro, J., Bates, D. (2006) "Mixed-effects Models in S and S-Plus" ISBN: 978-1441903174.

Version: 0.0.5
Depends: R (≥ 3.6)
Imports: bayesplot, parallel, MASS, mvtnorm
Suggests: knitr, rmarkdown, Matrix, lme4, carData, mlbench, ggplot2, mlmRev, testthat, MCMCpack
Published: 2020-10-05
DOI: 10.32614/CRAN.package.hmclearn
Author: Samuel Thomas [cre, aut], Wanzhu Tu [ctb]
Maintainer: Samuel Thomas <samthoma at iu.edu>
License: GPL-3
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: hmclearn results

Documentation:

Reference manual: hmclearn.pdf
Vignettes: linear_mixed_effects_hmclearn
linear_regression_hmclearn
logistic_mixed_effects_hmclearn
logistic_regression_hmclearn
poisson_regression_hmclearn

Downloads:

Package source: hmclearn_0.0.5.tar.gz
Windows binaries: r-devel: hmclearn_0.0.5.zip, r-release: hmclearn_0.0.5.zip, r-oldrel: hmclearn_0.0.5.zip
macOS binaries: r-release (arm64): hmclearn_0.0.5.tgz, r-oldrel (arm64): hmclearn_0.0.5.tgz, r-release (x86_64): hmclearn_0.0.5.tgz, r-oldrel (x86_64): hmclearn_0.0.5.tgz
Old sources: hmclearn archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=hmclearn to link to this page.

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.