Author: Trevor L Davis. Ports examples from the argparse Python module by the
Python Software Foundation. Ports examples from the getopt package by Allen
Copyright: Copyright (c) 2012-2013 Trevor L Davis Copyright (c) 2008
Allen Day Copyright (c) 2001-2009 Python Software Foundation;
be used with Rscript to write "#!" shebang scripts that gracefully
accept positional and optional arguments and automatically generate usage.

Imports: findpython, getopt (>= 1.19), rjson

Title: Command Line Optional and Positional Argument Parser
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Imports: proto, findpython, getopt (>= 1.19), jsonlite

Imports: proto (>= 1.0.0), findpython, getopt (>= 1.19), jsonlite

Authors@R: c(person("Trevor L", "Davis", role=c("aut", "cre"), email="trevor.l.davis@gmail.com"),
person("Allen", "Day", role="ctb", comment="Some documentation and examples ported from the getopt package."),
person("Python Software Foundation", role="ctb", comment="Some documentation from the optparse Python module."),
Imports: R6, findpython, getopt (>= 1.19), jsonlite
Allen Day [ctb] (Some documentation and examples ported from the getopt
Python Software Foundation [ctb] (Some documentation from the optparse

Suggests: covr, knitr (>= 1.15.19), testthat

Suggests: knitr (>= 1.15.19), rmarkdown, testthat

Authors@R: c(person("Trevor L", "Davis", role=c("aut", "cre"),
Author: Trevor L Davis [aut, cre] (<https://orcid.org/0000-0001-6341-4639>),

Maintainer: David JH Shih <djh.shih@gmail.com>
Description: Cross-platform command-line argument parser written purely in R
with no external dependencies. This package is useful with the Rscript
front-end and facilitates turning an R script into an executable script.

Maintainer: David J. H. Shih <djh.shih@gmail.com>
with no external dependencies. It is useful with the Rscript

Title: Random Variate Generator for the Argus Distribution
Authors@R: c(person("Wolfgang", "Hormann", email = "hormannw@boun.edu.tr",
Random variate generation, density, CDF and quantile function
for the Argus distribution. Especially, it includes for random variate generation a
flexible inversion method that is also fast in the varying parameter case.
A Ratio-of-Uniforms method is provided as second alternative.