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Implementation of the Johnson Quantile-Parameterised Distribution in R. The Johnson Quantile-Parameterised Distribution (J-QPD) is a flexible distribution system that is parameterised by a symmetric percentile triplet of quantile values (typically the 10th-50th-90th) along with known support bounds for the distribution. The J-QPD system was developed by Hadlock and Bickel (2017) <doi:10.1287/deca.2016.0343>. This package implements the density, quantile, CDF and random number generator functions.
Version: | 0.2.3 |
Suggests: | devtools, knitr, rmarkdown, testthat |
Published: | 2020-09-25 |
DOI: | 10.32614/CRAN.package.rjqpd |
Author: | Bobby Ingram [aut, cre] |
Maintainer: | Bobby Ingram <ingram.bob at gmail.com> |
BugReports: | https://github.com/bobbyingram/rjqpd/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/bobbyingram/rjqpd |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | rjqpd results |
Reference manual: | rjqpd.pdf |
Package source: | rjqpd_0.2.3.tar.gz |
Windows binaries: | r-devel: rjqpd_0.2.3.zip, r-release: rjqpd_0.2.3.zip, r-oldrel: rjqpd_0.2.3.zip |
macOS binaries: | r-release (arm64): rjqpd_0.2.3.tgz, r-oldrel (arm64): rjqpd_0.2.3.tgz, r-release (x86_64): rjqpd_0.2.3.tgz, r-oldrel (x86_64): rjqpd_0.2.3.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.