Package index • RESI: Robust Effect Size Inference in R

Model-based functions

Use these functions on fitted models to obtain RESI estimates and confidence intervals.

resi(): Robust Effect Size Index (RESI) point and interval estimation for models

resi_pe(): Robust Effect Size Index (RESI) Point Estimation

Conversion functions

Manual functions for converting test statistics to RESI estimates and converting RESI estimates to and from other effect size measures.

chisq2S(): Compute the robust effect size index estimate from chi-squared statistic.

d2S(): Covert Cohen's d to |S|

f2S(): Compute the robust effect size index estimate from F-statistic

fsq2S(): Covert Cohen's f^2 to S

Rsq2S(): Covert R^2 to S

S2d(): Convert S to Cohen's d

S2fsq(): Covert S to Cohen's f^2

S2Rsq(): Covert S to R^2

S2chisq(): Convert non-zero S to Chi-square statistic

S2z(): Convert RESI (S) estimate to Z statistic

t2S(): Compute the robust effect size index estimate from t statistic (default)

z2S(): Compute the robust effect size index estimate from Z statistic

Additional functions

Functions for summarizing and visualization.

anova(<resi>): Anova method for resi objects

ggplot(<resi>): Plotting RESI Estimates and CIs

omnibus(): Omnibus (Overall) Wald Test for resi objects

plot(<resi>): Plotting RESI Estimates and CIs

summary(<resi>): Summary method for resi objects

Datasets

depression: Depression Treatment Data

insurance: US Health Insurance Data