PMLi: PMLi: Support Functions and Dataset for Analysis of Partially...

In Garylikai/PMLi-1.0-R-Package: AMS 597 Project Partially Matched Samples R Package

Description

Functions and dataset to support AMS 597 Project, Spring 2021, on statistical analysis strategies for partially matched samples (1st edition, 2021)

Details

For a complete list of functions and further details, use library(help = "PMLi").

PMLi Functions

The PMLi functions are the statistical approaches that can be used to analyze partially matched samples.

weighted.z Liptak's Weighted Z-Test

modified.t Kim et al.'s Modified t-Statistic

corrected.z Looney and Jones's Corrected Z-Test

mle.hetero Lin and Stivers's MLE-Based Test under Heteroscedasticity

mle.homo Ekbohm's MLE-Based Test under Homoscedasticity

PMLi Dataset

The PMLi sample dataset is partially matched samples.

pm Sample Dataset

Author(s)

Kai Li [e-mail]

References

Kuan P F, Huang B. A simple and robust method for partially matched samples using the p-values pooling approach. Statistics in medicine. 2013; 32(19): 3247-3259.

Garylikai/PMLi-1.0-R-Package documentation built on Dec. 28, 2021, 12:12 a.m.