The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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

Documentation:

Reference manual: hytest.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=hytest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.