SecKW: The SecKW Distribution

Density, distribution function, quantile function, random generation and survival function for the Secant Kumaraswamy Weibull Distribution as defined by SOUZA, L. New Trigonometric Class of Probabilistic Distributions. 219 p. Thesis (Doctorate in Biometry and Applied Statistics) - Department of Statistics and Information, Federal Rural University of Pernambuco, Recife, Pernambuco, 2015 (available at <http://www.openthesis.org/documents/New-trigonometric-classes-probabilistic-distributions-602633.html>) and BRITO, C. C. R. Method Distributions generator and Probability Distributions Classes. 241 p. Thesis (Doctorate in Biometry and Applied Statistics) - Department of Statistics and Information, Federal Rural University of Pernambuco, Recife, Pernambuco, 2014 (available upon request).

Version:	0.2
Depends:	R (≥ 3.0.1)
Imports:	pracma, fdrtool
Published:	2016-07-18
Author:	Luciano Souza, Lucas Gallindo, Luciano Serafim de Souza
Maintainer:	Lucas Gallindo <lgallindo at gmail.com>
BugReports:	https://github.com/TrigonometricDistribution/SecKW/issues
License:	MIT + file LICENSE
URL:	https://github.com/TrigonometricDistribution
NeedsCompilation:	no
Materials:	README
CRAN checks:	SecKW results

Documentation:

Reference manual:

SecKW.pdf

Downloads:

Package source:	SecKW_0.2.tar.gz
Windows binaries:	r-devel: SecKW_0.2.zip, r-release: SecKW_0.2.zip, r-oldrel: SecKW_0.2.zip
macOS binaries:	r-release (arm64): SecKW_0.2.tgz, r-oldrel (arm64): SecKW_0.2.tgz, r-release (x86_64): SecKW_0.2.tgz, r-oldrel (x86_64): SecKW_0.2.tgz
Old sources:	SecKW archive

Linking:

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