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