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minsample2
View on CRAN: Click
here
Download and install minsample2 package within the R console
Install from CRAN:
install.packages("minsample2")
Install from Github:
library("remotes")
install_github("cran/minsample2")
Install by package version:
library("remotes")
install_version("minsample2", "0.1.0")
Attach the package and use:
library("minsample2")
Maintained by
Anik Paul
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.minsample2 . minsample2 results . minsample2.pdf . Introdution to minsample2 . minsample2_0.1.0.tar.gz . minsample2_0.1.0.zip . minsample2_0.1.0.zip . minsample2_0.1.0.zip . minsample2_0.1.0.tgz . minsample2_0.1.0.tgz . minsample2_0.1.0.tgz . minsample2_0.1.0.tgz . minsample2_0.1.0.tgz . minsample2_0.1.0.tgz . https://CRAN.R-project.org/package=minsample2 .
First Published: 2022-10-31
Latest Update: 2022-10-31
Description:
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.
How to cite:
Anik Paul (2022). minsample2: The Minimum Sample Size. R package version 0.1.0, https://cran.r-project.org/web/packages/minsample2. Accessed 10 Apr. 2025.
Previous versions and publish date:
No previous versions
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Other R packages that minsample2 depends,
imports, suggests or enhances
Complete documentation for minsample2
Functions, R codes and Examples using
the minsample2 R package
Some associated functions: l_exp . l_norm .
Some associated R codes: minsample2.R . Full minsample2 package functions and examples
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