Learn R Programming

met (version 0.1.0)

Evaluating and Improving Matched Samples in Observational Studies

Description

Evaluate covariate balance of a matched sample, and suggest a new feature that the new match should balance if the current match is not satisfactory (only available with method being generalized Kolmogorov-Smirnov statistic on a finite set, GFKS for short).

Copy Link

Version

Install

install.packages('met')

Monthly Downloads

2

Version

0.1.0

License

MIT+file LICENSE

Maintainer

Ruoqi Yu

Last Published

August 14th, 2020

Functions in met (0.1.0)

wilcoxon_stat

Wilcoxon rank statistics
ks_stat

Kolmogorov-Smirnov statistics
smd_stat

Standardized mean differences
gfks1_stat

Univariate GFKS statistics
gfks2_stat

Bivariate GFKS statistics
t_stat

Two sample t statistics
met

Balance evaluation of matched samples
SSRI

Antidepressants and bone density