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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=distfromq to link to this page.
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