Goodness-of-Fit and Calibration Tests for Logistic Regression

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Documentation for package ‘ebrahim.gof’ version 2.6.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

cdef.gof	Covariate-Space Directed Ebrahim-Farrington (CDEF) Goodness-of-Fit Test
deepgof1	DeepGOF-1: a pretrained goodness-of-fit test for logistic regression
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()'
legoft	Pretrained goodness-of-fit test for binary logistic regression
legoft.localize	Localize misspecification with familywise error control
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
shrink.gof	The shrinkage-corrected Hosmer-Lemeshow test