MSIMST: Bayesian Monotonic Single-Index Regression Model with the Skew-T Likelihood

Incorporates a Bayesian monotonic single-index mixed-effect model with a multivariate skew-t likelihood, specifically designed to handle survey weights adjustments. Features include a simulation program and an associated Gibbs sampler for model estimation. The single-index function is constrained to be monotonic increasing, utilizing a customized Gaussian process prior for precise estimation. The model assumes random effects follow a canonical skew-t distribution, while residuals are represented by a multivariate Student-t distribution. Offers robust Bayesian adjustments to integrate survey weight information effectively.

Version:	1.1
Depends:	R (≥ 3.4.0)
Imports:	MASS (≥ 7.3-58.4), Rcpp (≥ 1.0.12), mvtnorm (≥ 1.2-4), fields (≥ 15.2), parallel (≥ 4.3.0), truncnorm (≥ 1.0-9), Rdpack (≥ 2.6)
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	lattice (≥ 0.21-8), HDInterval (≥ 0.2.4), latex2exp (≥ 0.9.6), posterior (≥ 1.5.0)
Published:	2024-09-16
DOI:	10.32614/CRAN.package.MSIMST
Author:	Qingyang Liu [aut, cre], Debdeep Pati [aut], Dipankar Bandyopadhyay [aut]
Maintainer:	Qingyang Liu <rh8liuqy at gmail.com>
License:	GPL (≥ 3)
URL:	https://github.com/rh8liuqy/MSIMST
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	MSIMST results

Documentation:

Reference manual:	MSIMST.pdf
Vignettes:	Robust Statistical Modeling for Quantifying Periodontal Disease: A Single Index Mixed-Effects Approach with Skewed Random Effects and Heavy-Tailed Residuals (source)

Downloads:

Package source:	MSIMST_1.1.tar.gz
Windows binaries:	r-devel: MSIMST_1.1.zip, r-release: MSIMST_1.1.zip, r-oldrel: MSIMST_1.1.zip
macOS binaries:	r-release (arm64): MSIMST_1.1.tgz, r-oldrel (arm64): MSIMST_1.1.tgz, r-release (x86_64): MSIMST_1.1.tgz, r-oldrel (x86_64): MSIMST_1.1.tgz

Linking:

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