R: Goodness-of-Fit and Calibration Tests for Logistic Regression

# Goodness-of-Fit and Calibration Tests for Logistic Regression

## Documentation for package ‘ebrahim.gof’ version 2.4.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

cdef.gof | Covariate-Space Directed Ebrahim-Farrington (CDEF) Goodness-of-Fit Test
def.ensemble.gof | Combine Directed GOF Tests into One Decision (Ensemble)
def.gof | Directed Ebrahim-Farrington (DEF) Goodness-of-Fit Test
deploy.gof | Deployable learned-ensemble GOF test via parametric bootstrap
edge.gof | EDGE: Directed Goodness-of-Fit Test for Binary Logistic Regression
edges.gof | EDGES: Cauchy-Combination Ensemble of Directed GOF Tests (Alias)
ef.gof | Ebrahim-Farrington Goodness-of-Fit Test for Logistic Regression
gof.features | Goodness-of-fit evidence features for a fitted model
gof_demo | Synthetic binary outcome data with a smooth calibration misfit
gof_demo_grouped | Grouped-covariate companion to 'gof_demo' (replicated covariate patterns)
gof_install_suggests | Install the optional packages used by 'run.all.gof()'
plot.gof_battery | Plot the GiViTI calibration belt from a goodness-of-fit battery
print.gof_battery | Print a goodness-of-fit battery
run.all.gof | Run a Battery of Goodness-of-Fit Tests at Once