Package: MSIMST
Type: Package
Title: Bayesian Monotonic Single-Index Regression Model with the Skew-T
        Likelihood
Version: 1.1
Date: 2024-08-16
Authors@R: c(
    person("Qingyang", "Liu", email = "rh8liuqy@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3265-6330")),
    person("Debdeep", "Pati", email = "debdeep@stat.tamu.edu", role = c("aut")),
    person("Dipankar", "Bandyopadhyay", email = "dbandyop@vcu.edu", role = c("aut")))
Description: 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.
URL: https://github.com/rh8liuqy/MSIMST
License: GPL (>= 3)
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
RoxygenNote: 7.3.2
Encoding: UTF-8
Suggests: lattice (>= 0.21-8), HDInterval (>= 0.2.4), latex2exp (>=
        0.9.6), posterior (>= 1.5.0)
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2024-09-13 02:15:51 UTC; Kevin_Liu
Author: Qingyang Liu [aut, cre] (<https://orcid.org/0000-0003-3265-6330>),
  Debdeep Pati [aut],
  Dipankar Bandyopadhyay [aut]
Maintainer: Qingyang Liu <rh8liuqy@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-16 07:20:05 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 01:19:59 UTC; unix
Archs: MSIMST.so.dSYM
