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hytest  

Hypothesis Testing Based on Neyman-Pearson Lemma and Likelihood Ratio Test
View on CRAN: Click here


Download and install hytest package within the R console
Install from CRAN:
install.packages("hytest")

Install from Github:
library("remotes")
install_github("cran/hytest")

Install by package version:
library("remotes")
install_version("hytest", "0.1.1")



Attach the package and use:
library("hytest")
Maintained by
Carlos Alberto Cardozo Delgado
[Scholar Profile | Author Map]
First Published: 2024-06-04
Latest Update: 2024-06-04
Description:
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).
How to cite:
Carlos Alberto Cardozo Delgado (2024). hytest: Hypothesis Testing Based on Neyman-Pearson Lemma and Likelihood Ratio Test. R package version 0.1.1, https://cran.r-project.org/web/packages/hytest. Accessed 08 Apr. 2025.
Previous versions and publish date:
0.1.0 (2024-06-04 12:28)
Other packages that cited hytest R package
View hytest citation profile
Other R packages that hytest depends, imports, suggests or enhances
Complete documentation for hytest
Functions, R codes and Examples using the hytest R package
Full hytest package functions and examples
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