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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.

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 pmsesampling_0.1.1.tar.gz 19.9 KiB
0.1.1 rolling linux/noble R-4.5 pmsesampling_0.1.1.tar.gz 19.9 KiB
0.1.1 rolling source/ R- pmsesampling_0.1.1.tar.gz 6.8 KiB
0.1.1 latest linux/jammy R-4.5 pmsesampling_0.1.1.tar.gz 19.9 KiB
0.1.1 latest linux/noble R-4.5 pmsesampling_0.1.1.tar.gz 19.9 KiB
0.1.1 latest source/ R- pmsesampling_0.1.1.tar.gz 6.8 KiB
0.1.1 2026-04-26 source/ R- pmsesampling_0.1.1.tar.gz 6.8 KiB
0.1.1 2026-04-23 source/ R- pmsesampling_0.1.1.tar.gz 6.8 KiB
0.1.1 2026-04-09 windows/windows R-4.5 pmsesampling_0.1.1.zip 22.9 KiB

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