stepbwd: Removes a single predictor from a linear model based on its...
In c-langille/pStepwise: Variable selection for linear regression models based on p-values
Description
Usage
Arguments
Value
See Also
Description
This function will try and remove a single predictor from a current linear model. A predictor will be removed if it has maximal p-value and its p-value is greater than a certain threshold.
Usage
1
Arguments
fitCurrent
the current model of type "lm"
fullmodel
a linear model containing all possible predictors. Typically of the form lm(y~., data=data)
aRemove
the threshold for removing the predictor, set to 0.1 by default
forcedIn
vector of predictors that will be forced into the final model
Value
an updated linear model of type "lm"
See Also
c-langille/pStepwise documentation built on May 13, 2019, 9:55 a.m.
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Description Usage Arguments Value See Also
Description
This function will try and remove a single predictor from a current linear model. A predictor will be removed if it has maximal p-value and its p-value is greater than a certain threshold.
Usage
1 |
Arguments
fitCurrent |
the current model of type "lm" |
fullmodel |
a linear model containing all possible predictors. Typically of the form lm(y~., data=data) |
aRemove |
the threshold for removing the predictor, set to 0.1 by default |
forcedIn |
vector of predictors that will be forced into the final model |
Value
an updated linear model of type "lm"
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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