BayesSIM: Integrated Interface of Bayesian Single Index Models using 'nimble'

Provides tools for fitting Bayesian single index models with flexible choices of priors for both the index and the link function. The package implements model estimation and posterior inference using efficient MCMC algorithms built on the 'nimble' framework, allowing users to specify, extend, and simulate models in a unified and reproducible manner. The following methods are implemented in the package: Antoniadis et al. (2004) <https://www.jstor.org/stable/24307224>, Wang (2009) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <c>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.

Version:	0.1.4
Depends:	R (≥ 4.1), nimble, ggplot2
Imports:	magrittr, patchwork, tidyr, coda, mvtnorm, methods, MASS
Suggests:	testthat (≥ 3.0.0)
Published:	2025-10-30
DOI:	10.32614/CRAN.package.BayesSIM
Author:	Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer:	Seowoo Jung <jsw1347 at ewha.ac.kr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	BayesSIM results

Documentation:

Reference manual:

BayesSIM.html , BayesSIM.pdf

Downloads:

Package source:	BayesSIM_0.1.4.tar.gz
Windows binaries:	r-devel: not available, r-release: BayesSIM_0.1.4.zip, r-oldrel: BayesSIM_0.1.4.zip
macOS binaries:	r-release (arm64): BayesSIM_0.1.4.tgz, r-oldrel (arm64): BayesSIM_0.1.4.tgz, r-release (x86_64): BayesSIM_0.1.4.tgz, r-oldrel (x86_64): BayesSIM_0.1.4.tgz

Linking:

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