Package: hytest 0.1.1
Carlos Alberto Cardozo Delgado
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).
Authors:
hytest_0.1.1.tar.gz
hytest_0.1.1.tar.gz(r-4.5-noble)hytest_0.1.1.tar.gz(r-4.4-noble)
hytest_0.1.1.tgz(r-4.4-emscripten)hytest_0.1.1.tgz(r-4.3-emscripten)
hytest.pdf |hytest.html✨
hytest/json (API)
# Install 'hytest' in R: |
install.packages('hytest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:fb6ae6e43c. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 09 2024 |
R-4.5-linux | OK | Dec 09 2024 |
Exports:ber_c_optber_errorIexp_c_optexp_errorIgamma_c_optgamma_errorIgeom_c_optgeom_errorIgumbel_c_optgumbel_errorIinvnormal_c_optinvnormal_errorIlognorm_c_optlognorm_errorInorm_c_optnorm_errorIpois_c_optpois_errorIweibull_c_optweibull_errorI
Dependencies:gamlssgamlss.datagamlss.distlatticeMASSMatrixnlmesurvival