back_select: Backwards selcection of linear regression model
In EvanWie/regNselect:

Description Usage Arguments Value

View source: R/regress_select.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.

EvanWie/regNselect documentation built on Nov. 20, 2019, 12:02 a.m.