Fru: Estimate pooled F of a model from multiply imputed data

In tim9800/bmemTOOLS: Project-specific functions for my honours thesis

Estimate pooled F of a model from multiply imputed data

Description

Returns the F statistic of a regression model, given the response and predictor variables. Not all variables need to be tested for significance simultaneously, which allows F-testing of hierarchical regressions.

Usage

Fru(dataset, response, predictors, testpredictors)

Arguments

dataset	mids object, a multiply-imputed dataset generated from mice
response	character vector, specifying the name of the response variable in the dataset
predictors	vector, specifying the name(s) of the predictors in the dataset
testpredictors	vector, specifying the name(s) of predictors to be tested for significance

Examples

mids <- mice::mice(mice::nhanes, m=5, maxit=1)
outcome <- "hyp"
predictors <- c("age", "bmi")
testpredictors <- c("age","bmi")
F1 <- Fru(mids, outcome, predictors, testpredictors)

tim9800/bmemTOOLS documentation built on June 1, 2025, 10:08 p.m.