impute.model.comparison: Compute Bayes Factor for a Imputed Model

In dustinfife/fifer2: A Biostatisticians Toolbox for Various Activities, Including Plotting, Data Cleanup, and Data Analysis

Description

Compute Bayes Factor for a Imputed Model

Usage

impute.model.comparison(model1, model2, data, predictors = NULL,
  keep = T, imputations = 20, silent = F, invert = F)

Arguments

model1	The full model
model2	The reduced model
data	The dataset used for analysis. This dataset should contain predictors used to impute the missing values
predictors	A list of predictors (as a character vector) that identify which variables to keep (or drop; see below argument).
keep	Logical. Should the list of predictors be kept or dropped? Defaults to keep.
imputations	The number of imputations to be performed. Defaults to 20.

Details

blah blah blah

Value

.mod Should the model be returned?

Author(s)

Dustin Fife

dustinfife/fifer2 documentation built on Nov. 4, 2019, 11:04 a.m.