Stable Distribution Functions...For You
Overview
Tools for fast and accurate evaluation of skew stable distributions (CDF, PDF and quantile functions), random number generation, and parameter estimation. This is 'libstableR' as per Royuela del Val, Simmross-Wattenberg, and Alberola López (2017) doi:10.18637/jss.v078.i01 under a new maintainer.
- Fixed stable_rnd.c source
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From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE13 OK, 1 NOTE2026-04-22
- ERROR12 OK, 1 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
- NOTE13 OK, 1 NOTE2026-03-10
Documentation
- Help pages
- 5includes a package overview page
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 75%
- Documented parameters
- 94%
- Return-value docs
- 100%
- Help pages citing references
- 80%
Also includes 1 demo script (run with demo())
Downloads
Dependencies
Installing libstable4u adds 2 packages (2 with compiled code, 2.2 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppGSL 364 KB.
Code & Tests
People & History
Package metadata
- First published
- 2023-08-14
- Total releases
- 4 / 3 yrs
- License
- GPL-3 OSI
- Download size
- 57 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("libstable4u")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v078.i01.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.