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 + fileLICENSE |
| 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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