distfromq: Reconstruct a Distribution from a Collection of Quantiles
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 |
Documentation:
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