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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>.
Version: | 1.0.0 |
Depends: | R (≥ 3.4.0), ggplot2 (≥ 2.0.0), StanHeaders (≥ 2.18.0), Rcpp (≥ 0.12.0) |
Imports: | llogistic, rstan, MCMCpack, MASS, coda, stats |
Published: | 2019-04-04 |
DOI: | 10.32614/CRAN.package.llbayesireg |
Author: | Sara Alexandre Fonsêca [aut], Rosineide Fernando da Paz [aut, cre], Jorge Luís Bazán [ctb] |
Maintainer: | Rosineide Fernando da Paz <rfpaz2 at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
CRAN checks: | llbayesireg results |
Reference manual: | llbayesireg.pdf |
Package source: | llbayesireg_1.0.0.tar.gz |
Windows binaries: | r-devel: llbayesireg_1.0.0.zip, r-release: llbayesireg_1.0.0.zip, r-oldrel: llbayesireg_1.0.0.zip |
macOS binaries: | r-release (arm64): llbayesireg_1.0.0.tgz, r-oldrel (arm64): llbayesireg_1.0.0.tgz, r-release (x86_64): llbayesireg_1.0.0.tgz, r-oldrel (x86_64): llbayesireg_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.