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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