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pmsesampling: Sample Size Determination for Accurate Predictive Linear Regression

Provides analytic and simulation tools to estimate the minimum sample size required for achieving a target prediction mean-squared error (PMSE) or a specified proportional PMSE reduction (pPMSEr) in linear regression models. Functions implement the criteria of Ma (2023) <https://digital.wpi.edu/downloads/0g354j58c>, support covariance-matrix handling, and include helpers for root-finding and diagnostic plotting.

Version: 0.1.1
Imports: Matrix, stats, rootSolve
Suggests: rmarkdown, testthat (≥ 3.0.0)
Published: 2025-09-09
DOI: 10.32614/CRAN.package.pmsesampling
Author: Louis Chen [aut, cre], Zheyang Wu [aut, ths]
Maintainer: Louis Chen <chenaters at gmail.com>
BugReports: https://github.com/Chenaters/pmsesampling/issues
License: MIT + file LICENSE
URL: https://github.com/Chenaters/pmsesampling
NeedsCompilation: no
CRAN checks: pmsesampling results

Documentation:

Reference manual: pmsesampling.html , pmsesampling.pdf

Downloads:

Package source: pmsesampling_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): pmsesampling_0.1.1.tgz, r-oldrel (arm64): pmsesampling_0.1.1.tgz, r-release (x86_64): pmsesampling_0.1.1.tgz, r-oldrel (x86_64): pmsesampling_0.1.1.tgz

Linking:

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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.