Package: bayesQRsurvey 0.2.2
Tomás Rodríguez Taborda
bayesQRsurvey: Bayesian Quantile Regression Models for Complex Survey Data Analysis
Provides Bayesian quantile regression models for complex survey data under informative sampling using survey-weighted estimators. Both single- and multiple-output models are supported. To accelerate computation, all algorithms are implemented in 'C++' using 'Rcpp', 'RcppArmadillo', and 'RcppEigen', and are called from 'R'. See Nascimento and Gonçalves (2024) <doi:10.1093/jssam/smae015> and Nascimento and Gonçalves (2025, in press) <https://academic.oup.com/jssam>.
Authors:
bayesQRsurvey_0.2.2.tar.gz
bayesQRsurvey_0.2.2.tar.gz(r-4.7-arm64)bayesQRsurvey_0.2.2.tar.gz(r-4.7-x86_64)bayesQRsurvey_0.2.2.tar.gz(r-4.6-arm64)bayesQRsurvey_0.2.2.tar.gz(r-4.6-x86_64)
bayesQRsurvey_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bayesQRsurvey/json (API)
NEWS
| # Install 'bayesQRsurvey' in R: |
| install.packages('bayesQRsurvey', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/torodriguezt/bayesqrsurvey/issues
- Anthro - Children anthropometric data
Last updated from:cd5c489e56. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 199 | ||
| linux-devel-x86_64 | OK | 172 | ||
| source / vignettes | OK | 206 | ||
| linux-release-arm64 | OK | 181 | ||
| linux-release-x86_64 | OK | 164 | ||
| wasm-release | OK | 141 |
Exports:bqr.svymo.bqr.svyplotQuantileRegionprior
Dependencies:abindbackportscheckmateclicpp11distributionalfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrmatrixStatsnumDerivpillarpkgconfigposteriorpracmaR6RColorBrewerRcppRcppArmadilloRcppEigenrlangS7scalestensorAtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Children anthropometric data | Anthro |
| Bayesian quantile regression for complex survey data | bqr.svy |
| Multiple-Output Bayesian quantile regression for complex survey data | mo.bqr.svy |
| Plot Method for Bayesian Weighted Quantile Regression | plot plot.bqr.svy plot.bwqr_fit plot.bwqr_fit_multi |
| Plot Bivariate Quantile Regions for Multiple-Output Models | plotQuantileRegion |
| Print methods for bayesQRsurvey model objects | print.bayesQRsurvey print.bqr.svy print.mo.bqr.svy |
| Create prior for Bayesian quantile regression models for complex survey data | prior |
| Summary methods for bayesQRsurvey | summary.bayesQRsurvey summary.bqr.svy summary.mo.bqr.svy |
