stepfwd: Adds a single predictor to a linear model based on its...

In c-langille/pStepwise: Variable selection for linear regression models based on p-values

Description

This function will try and add a new predictor to a current model. A predictor will be added if it has minimum p-value among all predictors and its p-value is below a certain threshold

Usage

stepfwd(fitCurrent, fullmodel, aEnter = 0.1, forcedOut = NULL)

Arguments

fitCurrent	the current model of type "lm"
fullmodel	a linear model containing all possible predictors. Typically of the form lm(y~., data=data)
aEnter	the threshold for adding the predictor, set to 0.1 be default
forcedOut	vector of predictors that will be forced out of the final model

Value

an updated linear model of type "lm"

See Also

pStepwise

c-langille/pStepwise documentation built on May 13, 2019, 9:55 a.m.