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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 |
Reference manual: | hytest.pdf |
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 |
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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.