hytest: Hypothesis Testing Based on Neyman-Pearson Lemma and Likelihood Ratio Test

Error type I and Optimal critical values to test statistical hypothesis based on Neyman-Pearson Lemma and Likelihood ratio test based on random samples from several distributions. The families of distributions are Bernoulli, Exponential, Geometric, Inverse Normal, Normal, Gamma, Gumbel, Lognormal, Poisson, and Weibull. This package is an ideal resource to help with the teaching of Statistics. The main references for this package are Casella G. and Berger R. (2003,ISBN:0-534-24312-6 , "Statistical Inference. Second Edition", Duxbury Press) and Hogg, R., McKean, J., and Craig, A. (2019,ISBN:013468699, "Introduction to Mathematical Statistic. Eighth edition", Pearson).

Version:	0.1.1
Imports:	gamlss, gamlss.dist
Published:	2024-09-09
DOI:	10.32614/CRAN.package.hytest
Author:	Carlos Alberto Cardozo Delgado [aut, cre, cph]
Maintainer:	Carlos Alberto Cardozo Delgado <cardozorpackages at gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	hytest results

Documentation:

Reference manual:

hytest.pdf

Downloads:

Package source:	hytest_0.1.1.tar.gz
Windows binaries:	r-devel: hytest_0.1.1.zip, r-release: hytest_0.1.1.zip, r-oldrel: hytest_0.1.1.zip
macOS binaries:	r-release (arm64): hytest_0.1.1.tgz, r-oldrel (arm64): hytest_0.1.1.tgz, r-release (x86_64): hytest_0.1.1.tgz, r-oldrel (x86_64): hytest_0.1.1.tgz
Old sources:	hytest archive

Linking:

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