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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 |
| Author: | Anik Paul [aut, cre] |
| Maintainer: | Anik Paul <paulanik2019 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | minsample2 results |
| Reference manual: | minsample2.pdf |
| Vignettes: |
Introdution to minsample2 |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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