Description Usage Arguments Value

View source: R/linear_regression.R

Performs backwards selection of model parameters. Removes parameter with greatest p-value above "prem" threshold. P-values are calculated using Ordinary Least Squares (no weighting option).

1 | ```
back_select(formula, data, prem = 0.1)
``` |

`formula` |
Model formula using specified columns of DataFrame 'data'. Can include interactions and select no intercept with -1. |

`data` |
Dataframe from which model variables are pulled. |

`prem` |
Threshold at which a parameter will be removed from the model if it has the highest p-value above the threshold. The default value is .1. |

Dataframe of coefficients, estimate standard errors, test statistics, and p-values for parameters remaining in the model following backwards selection.

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