Package: minsample2 0.1.0

minsample2: The Minimum Sample Size

Using this package, one can determine the minimum sample size required so that the mean square error of the sample mean and the population mean of a distribution becomes less than some pre-determined epsilon, i.e. it helps the user to determine the minimum sample size required to attain the pre-fixed precision level by minimizing the difference between the sample mean and population mean.

Authors:Anik Paul [aut, cre]

minsample2_0.1.0.tar.gz
minsample2_0.1.0.zip(r-4.5)minsample2_0.1.0.zip(r-4.4)minsample2_0.1.0.zip(r-4.3)
minsample2_0.1.0.tgz(r-4.5-any)minsample2_0.1.0.tgz(r-4.4-any)minsample2_0.1.0.tgz(r-4.3-any)
minsample2_0.1.0.tar.gz(r-4.5-noble)minsample2_0.1.0.tar.gz(r-4.4-noble)
minsample2_0.1.0.tgz(r-4.4-emscripten)minsample2_0.1.0.tgz(r-4.3-emscripten)
minsample2.pdf |minsample2.html
minsample2/json (API)

# Install 'minsample2' in R:
install.packages('minsample2', repos = c('https://anik4322.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 scripts 141 downloads 2 exports 0 dependencies

Last updated 2 years agofrom:1659a3645f. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 18 2025
R-4.5-winOKMar 18 2025
R-4.5-macOKMar 18 2025
R-4.5-linuxOKMar 18 2025
R-4.4-winOKMar 18 2025
R-4.4-macOKMar 18 2025
R-4.4-linuxOKMar 18 2025
R-4.3-winOKMar 18 2025
R-4.3-macOKMar 18 2025

Exports:l_expl_norm

Dependencies:

Introdution to minsample2

Rendered fromIntro_to_minsample2.Rmdusingknitr::rmarkdownon Mar 18 2025.

Last update: 2022-10-31
Started: 2022-10-31