Package: llbayesireg 1.0.0
llbayesireg: The L-Logistic Bayesian Regression
R functions and data sets for the work Paz, R.F., Balakrishnan, N and Bazán, J.L. (2018). L-logistic regression models: Prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, <https://www.imstat.org/wp-content/uploads/2018/05/BJPS397.pdf>.
Authors:
llbayesireg_1.0.0.tar.gz
llbayesireg_1.0.0.zip(r-4.5)llbayesireg_1.0.0.zip(r-4.4)llbayesireg_1.0.0.zip(r-4.3)
llbayesireg_1.0.0.tgz(r-4.4-any)llbayesireg_1.0.0.tgz(r-4.3-any)
llbayesireg_1.0.0.tar.gz(r-4.5-noble)llbayesireg_1.0.0.tar.gz(r-4.4-noble)
llbayesireg_1.0.0.tgz(r-4.4-emscripten)llbayesireg_1.0.0.tgz(r-4.3-emscripten)
llbayesireg.pdf |llbayesireg.html✨
llbayesireg/json (API)
| # Install 'llbayesireg' in R: |
| install.packages('llbayesireg', repos = c('https://rosineide.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:c1de65ae5c. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | NOTE | Oct 31 2024 |
| R-4.5-linux | NOTE | Oct 31 2024 |
| R-4.4-win | NOTE | Oct 31 2024 |
| R-4.4-mac | NOTE | Oct 31 2024 |
| R-4.3-win | NOTE | Oct 31 2024 |
| R-4.3-mac | NOTE | Oct 31 2024 |
Exports:llbayesireglldiagnosticsllHPD
Dependencies:abindbackportsBHcallrcheckmateclicodacolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecyclellogisticloomagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpackmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsquantregQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanscalesSparseMStanHeaderssurvivaltensorAtibbleutf8vctrsviridisLitewithr
