Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Louis Chen [aut, cre], Zheyang Wu [aut, ths] |
| Maintainer | Louis Chen <chenaters@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.1 |
| URL | https://github.com/Chenaters/pmsesampling |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the pmsesampling package in your browser
Any scripts or data that you put into this service are public.
