StatDeriveR: Step-by-Step Derivation and Simulation Verification in Mathematical Statistics

Provides step-by-step derivations of key results in mathematical statistics, including transformations of random variables, order statistics, and sampling distributions. The package combines analytical derivation with Monte Carlo simulation to compare theoretical and empirical results, facilitating deeper understanding of statistical theory and its computational implementation. The methods are motivated by standard treatments in mathematical statistics (Hogg, McKean, and Craig, 2019, ISBN: 9780134686991).

Version:	0.1.0
Depends:	R (≥ 4.0.0)
Imports:	grDevices, graphics, stats
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-04-10
DOI:	10.32614/CRAN.package.StatDeriveR
Author:	Jokhrof Ahmed Doha [aut, cre]
Maintainer:	Jokhrof Ahmed Doha <s-2021711817 at isrt.du.ac.bd>
BugReports:	https://github.com/Jokhrof042/StatDeriveR/issues
License:	MIT + file LICENSE
URL:	https://github.com/Jokhrof042/StatDeriveR
NeedsCompilation:	no
Language:	en-US
CRAN checks:	StatDeriveR results

Documentation:

Reference manual:

StatDeriveR.html , StatDeriveR.pdf

Downloads:

Package source:	StatDeriveR_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: StatDeriveR_0.1.0.zip, r-oldrel: StatDeriveR_0.1.0.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): StatDeriveR_0.1.0.tgz, r-oldrel (x86_64): StatDeriveR_0.1.0.tgz

Linking:

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