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, Normal, Gamma, Lognormal, and Poisson. 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: 0.1.0
Published: 2024-06-04
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


Reference manual: hytest.pdf


Package source: hytest_0.1.0.tar.gz
Windows binaries: r-devel: hytest_0.1.0.zip, r-release: hytest_0.1.0.zip, r-oldrel: hytest_0.1.0.zip
macOS binaries: r-release (arm64): hytest_0.1.0.tgz, r-oldrel (arm64): hytest_0.1.0.tgz, r-release (x86_64): hytest_0.1.0.tgz, r-oldrel (x86_64): hytest_0.1.0.tgz


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