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.
| Version: | 0.1.0 | 
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) | 
| Published: | 2022-10-31 | 
| DOI: | 10.32614/CRAN.package.minsample2 | 
| Author: | Anik Paul [aut, cre] | 
| Maintainer: | Anik Paul <paulanik2019 at gmail.com> | 
| License: | GPL-3 | 
| NeedsCompilation: | no | 
| CRAN checks: | minsample2 results | 
| Reference manual: | minsample2.html , minsample2.pdf | 
| Vignettes: | Introdution to minsample2 (source, R code) | 
| Package source: | minsample2_0.1.0.tar.gz | 
| Windows binaries: | r-devel: minsample2_0.1.0.zip, r-release: minsample2_0.1.0.zip, r-oldrel: minsample2_0.1.0.zip | 
| macOS binaries: | r-release (arm64): minsample2_0.1.0.tgz, r-oldrel (arm64): minsample2_0.1.0.tgz, r-release (x86_64): minsample2_0.1.0.tgz, r-oldrel (x86_64): minsample2_0.1.0.tgz | 
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