Provides computational tools for working with the Extended Laplace distribution, including the probability density function, cumulative distribution function, quantile function, random variate generation based on convolution with Uniform noise and the quantile-quantile plot. Useful for modeling contaminated Laplace data and other applications in robust statistics. See Saah and Kozubowski (2025) <doi:10.1016/j.cam.2025.116588>.
Version: | 0.1.6 |
Imports: | stats, VGAM |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2025-05-27 |
DOI: | 10.32614/CRAN.package.ExtendedLaplace |
Author: | David Saah |
Maintainer: | David Saah <saahdavidkofi at gmail.com> |
BugReports: | https://github.com/saahdavid/ExtendedLaplace/issues |
License: | MIT + file LICENSE |
URL: | https://doi.org/10.1016/j.cam.2025.116588 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | ExtendedLaplace results |
Reference manual: | ExtendedLaplace.pdf |
Vignettes: |
Using the ExtendedLaplace Package (source, R code) |
Package source: | ExtendedLaplace_0.1.6.tar.gz |
Windows binaries: | r-devel: not available, r-release: ExtendedLaplace_0.1.6.zip, r-oldrel: ExtendedLaplace_0.1.6.zip |
macOS binaries: | r-release (arm64): ExtendedLaplace_0.1.6.tgz, r-oldrel (arm64): ExtendedLaplace_0.1.6.tgz, r-release (x86_64): ExtendedLaplace_0.1.6.tgz, r-oldrel (x86_64): ExtendedLaplace_0.1.6.tgz |
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