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bayesGAM: Fit Multivariate Response Generalized Additive Models using Hamiltonian Monte Carlo

The 'bayesGAM' package is designed to provide a user friendly option to fit univariate and multivariate response Generalized Additive Models (GAM) using Hamiltonian Monte Carlo (HMC) with few technical burdens. The functions in this package use 'rstan' (Stan Development Team 2020) to call 'Stan' routines that run the HMC simulations. The 'Stan' code for these models is already pre-compiled for the user. The programming formulation for models in 'bayesGAM' is designed to be familiar to analysts who fit statistical models in 'R'. Carpenter, B., Gelman, A., Hoffman, M. D., Lee, D., Goodrich, B., Betancourt, M., ... & Riddell, A. (2017). Stan: A probabilistic programming language. Journal of statistical software, 76(1). Stan Development Team. 2018. RStan: the R interface to Stan. R package version 2.17.3. <https://mc-stan.org/> Neal, Radford (2011) "Handbook of Markov Chain Monte Carlo" ISBN: 978-1420079418. Betancourt, Michael, and Mark Girolami. "Hamiltonian Monte Carlo for hierarchical models." Current trends in Bayesian methodology with applications 79.30 (2015): 2-4. 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. Ruppert, D., Wand, M. P., & Carroll, R. J. (2003). Semiparametric regression (No. 12). Cambridge university press. ISBN: 978-0521785167.

Version: 0.0.2
Depends: R (≥ 3.6)
Imports: bayesplot, boot, cluster, corrplot, ggplot2, graphics, gridExtra, loo, methods, mlbench, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.1.0.9000), SemiPar, stats, geometry, MASS
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: testthat
Published: 2022-03-17
DOI: 10.32614/CRAN.package.bayesGAM
Author: Samuel Thomas [cre, aut], Wanzhu Tu [ctb], Trustees of Columbia University (R/rstanMethods.R) [cph]
Maintainer: Samuel Thomas <samthoma at alumni.iu.edu>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
In views: Bayesian
CRAN checks: bayesGAM results [issues need fixing before 2024-11-30]

Documentation:

Reference manual: bayesGAM.pdf

Downloads:

Package source: bayesGAM_0.0.2.tar.gz
Windows binaries: r-devel: bayesGAM_0.0.2.zip, r-release: bayesGAM_0.0.2.zip, r-oldrel: bayesGAM_0.0.2.zip
macOS binaries: r-release (arm64): bayesGAM_0.0.2.tgz, r-oldrel (arm64): bayesGAM_0.0.2.tgz, r-release (x86_64): bayesGAM_0.0.2.tgz, r-oldrel (x86_64): bayesGAM_0.0.2.tgz
Old sources: bayesGAM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bayesGAM 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.