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: 2026-07-04 02:13:27 UTC; root Author: Qingyang Liu [aut, cre] (), Debdeep Pati [aut], Dipankar Bandyopadhyay [aut] Maintainer: Qingyang Liu Repository: https://rh8liuqy.r-universe.dev Date/Publication: 2024-09-16 17:52:11 UTC RemoteUrl: https://github.com/rh8liuqy/msimst RemoteRef: HEAD RemoteSha: a1fe05ff50338adf6606c592b4dd10ea2d4993b9