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:Sara Alexandre Fonsêca [aut], Rosineide Fernando da Paz [aut, cre], Jorge Luís Bazán [ctb]

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'))

Peer review:

Datasets:
  • EDI - Education Development Index
  • MHDI - Municipal Human Development Index
  • Votes - Data of the votes in the presidential elections of the municipalities of Sergipe in the years 1994, 1998, 2002 and 2006

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.00 score 60 dependencies 7 scripts 155 downloads

Last updated 5 years agofrom:c1de65ae5c. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winNOTEAug 20 2024
R-4.5-linuxNOTEAug 20 2024
R-4.4-winNOTEAug 20 2024
R-4.4-macNOTEAug 20 2024
R-4.3-winNOTEAug 20 2024
R-4.3-macNOTEAug 20 2024

Exports:llbayesireglldiagnosticsllHPD

Dependencies:abindbackportsBHcallrcheckmateclicodacolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecyclellogisticloomagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpackmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsquantregQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanscalesSparseMStanHeaderssurvivaltensorAtibbleutf8vctrsviridisLitewithr