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:

Reference manual:	distfromq.html , distfromq.pdf
Vignettes:	distfromq (source, R code)

Downloads:

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 dependencies:

Reverse imports:

hubEnsembles

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