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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
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