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 | 
| Reference manual: | pmsesampling.html , pmsesampling.pdf | 
| Package source: | pmsesampling_0.1.1.tar.gz | 
| Windows binaries: | r-devel: pmsesampling_0.1.1.zip, r-release: pmsesampling_0.1.1.zip, r-oldrel: pmsesampling_0.1.1.zip | 
| 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 | 
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