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Given a set of predictive quantiles from a distribution, estimate the distribution and create 'd', 'p', 'q', and 'r' functions to evaluate its density function, distribution function, and quantile function, and generate random samples. On the interior of the provided quantiles, an interpolation method such as a monotonic cubic spline is used; the tails are approximated by a location-scale family.
| Version: | 1.0.4 |
| Imports: | checkmate, purrr, splines, stats, utils, zeallot |
| Suggests: | dplyr, ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-09-13 |
| DOI: | 10.32614/CRAN.package.distfromq |
| Author: | Evan Ray [aut, cre], Aaron Gerding [aut], Li Shandross [ctb], Nick Reich [ctb] |
| Maintainer: | Evan Ray <elray at umass.edu> |
| License: | GPL (≥ 3) |
| URL: | http://reichlab.io/distfromq/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | Distributions |
| CRAN checks: | distfromq results |
| Reference manual: | distfromq.pdf |
| Vignettes: |
distfromq (source, R code) |
| Package source: | distfromq_1.0.4.tar.gz |
| Windows binaries: | r-devel: distfromq_1.0.4.zip, r-release: distfromq_1.0.4.zip, r-oldrel: distfromq_1.0.4.zip |
| macOS binaries: | r-release (arm64): distfromq_1.0.4.tgz, r-oldrel (arm64): distfromq_1.0.4.tgz, r-release (x86_64): distfromq_1.0.4.tgz, r-oldrel (x86_64): distfromq_1.0.4.tgz |
| Reverse imports: | hubEnsembles |
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