Package: MSIMST 1.1
Qingyang Liu
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.
Authors:
MSIMST_1.1.tar.gz
MSIMST_1.1.tar.gz(r-4.7-arm64)MSIMST_1.1.tar.gz(r-4.7-x86_64)MSIMST_1.1.tar.gz(r-4.6-arm64)MSIMST_1.1.tar.gz(r-4.6-x86_64)
MSIMST_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MSIMST/json (API)
NEWS
| # Install 'MSIMST' in R: |
| install.packages('MSIMST', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rh8liuqy/msimst/issues
Last updated from:74634f06d5. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 130 | ||
| linux-devel-x86_64 | OK | 139 | ||
| source / vignettes | OK | 182 | ||
| linux-release-arm64 | OK | 131 | ||
| linux-release-x86_64 | OK | 142 | ||
| wasm-release | OK | 112 |
Exports:Gibbs_SamplerphiX_creg_simulation1reg_simulation2reg_simulation3WFPBB
Dependencies:dotCall64fieldsmapsMASSmvtnormrbibutilsRColorBrewerRcppRcppArmadilloRdpackspamtruncnormviridisLite
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Associated Gibbs Sampler | Gibbs_Sampler |
| The 'MSIMST' package. | MSIMST-package MSIMST |
| The Function to Calculate the phiX Matrix for Estimating Single-Index Function | phiX_c |
| The Function for the Simulation Study without the Variable Selection | reg_simulation1 |
| The Function for the Simulation Study with the Variable Selection | reg_simulation2 |
| The Function for the Simulation Study with the Variable Selection and Survey Weights | reg_simulation3 |
| Weighted Finite Population Bayesian Bootstrap | WFPBB |
