Computations for approximations and alternatives for the 'DPQ' (Density (pdf), Probability (cdf) and Quantile) functions for probability distributions in R. Primary focus is on (central and non-central) beta, gamma and related distributions such as the chi-squared, F, and t. – This is for the use of researchers in these numerical approximation implementations, notably for my own use in order to improve R‘s own pbeta(), qgamma(), ..., etc: {’"dpq"'-functions}. – We plan to complement with 'DPQmpfr' to be suggested later.
| Version: | 0.4-1 |
| Depends: | R (≥ 3.6.0) |
| Imports: | stats, graphics, methods, utils, sfsmisc |
| Suggests: | Rmpfr, Matrix, MASS, mgcv, scatterplot3d, akima |
| Published: | 2020-06-19 |
| Author: | Martin Maechler |
| Maintainer: | Martin Maechler <maechler at stat.math.ethz.ch> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | DPQ results |
| Reference manual: | DPQ.pdf |
| Vignettes: |
Noncentral Chi-Squared Probabilities – Algorithms in \R Computing Beta(a,b) for Large Arguments |
| Package source: | DPQ_0.4-1.tar.gz |
| Windows binaries: | r-devel: DPQ_0.4-1.zip, r-release: DPQ_0.4-1.zip, r-oldrel: DPQ_0.4-1.zip |
| macOS binaries: | r-release: DPQ_0.4-1.tgz, r-oldrel: DPQ_0.4-1.tgz |
| Old sources: | DPQ archive |
| Reverse imports: | RoBMA |
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