Package: libstable4u 1.0.4

libstable4u: Stable Distribution Functions...For You

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.

Authors:Javier Royuela del Val [aut], Federico Simmross-Wattenberg [aut], Carlos Alberola López [aut], Bob Rudis [ctb], Bruce Swihart [ctb, cre]

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libstable4u.pdf |libstable4u.html✨
libstable4u/json (API)
NEWS

# Install 'libstable4u' in R:

install.packages('libstable4u', repos = c('https://swihart.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/swihart/libstable4u/issues

Uses libs:

gsl– GNU Scientific Library (GSL)
c++– GNU Standard C++ Library v3

On CRAN:

3.24 score 1 packages 1 scripts 1.2k downloads 8 exports 2 dependencies

Last updated 5 months agofrom:0bfa74792d. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 12 2024
R-4.5-win-x86_64	OK	Oct 12 2024
R-4.5-linux-x86_64	OK	Oct 12 2024
R-4.4-win-x86_64	OK	Oct 12 2024
R-4.4-mac-x86_64	OK	Oct 12 2024
R-4.4-mac-aarch64	OK	Oct 12 2024
R-4.3-win-x86_64	OK	Oct 12 2024
R-4.3-mac-x86_64	OK	Oct 12 2024
R-4.3-mac-aarch64	OK	Oct 12 2024

Exports:stable_cdf stable_fit_init stable_fit_koutrouvelis stable_fit_mle stable_fit_mle2d stable_pdf stable_q stable_rnd

Dependencies:Rcpp RcppGSL

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
libstable4u: Fast and accurate evaluation, random number generation and parameter estimation of skew stable distributions.	libstable4u-package libstable4u
Methods for parameter estimation of skew stable distributions.	stable_fit stable_fit_init stable_fit_koutrouvelis stable_fit_mle stable_fit_mle2d
PDF and CDF of a skew stable distribution.	stable_cdf stable_pdf stable_pdf_and_cdf
Quantile function of skew stable distributions	stable_q
Skew stable distribution random sample generation.	stable_rnd