Package: pmsesampling
Title: Sample Size Determination for Accurate Predictive Linear
        Regression
Version: 0.1.1
Authors@R: 
    c(person("Louis", "Chen", email = "chenaters@gmail.com", role = c("aut","cre")),
    person("Zheyang", "Wu", email = "zheyangwu@wpi.edu", role = c("aut", "ths")))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: Matrix, stats, rootSolve
Suggests: rmarkdown, testthat(>= 3.0.0)
BugReports: https://github.com/Chenaters/pmsesampling/issues
URL: https://github.com/Chenaters/pmsesampling
NeedsCompilation: no
Packaged: 2025-09-04 04:29:42 UTC; 12245
Author: Louis Chen [aut, cre],
  Zheyang Wu [aut, ths]
Maintainer: Louis Chen <chenaters@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-09 14:00:02 UTC
Built: R 4.6.0; ; 2026-04-26 01:32:22 UTC; unix
