a3.lm: A3 for Linear Regressions

In A3: Accurate, Adaptable, and Accessible Error Metrics for Predictive Models

Description

This convenience function calculates the A3 results specifically for linear regressions. It uses R's glm function and so supports logistic regressions and other link functions using the family argument. For other forms of models you may use the more general a3 function.

Usage

a3.lm(formula, data, family = gaussian, ...)

Arguments

formula	the regression formula.
data	a data frame containing the data to be used in the model fit.
family	the regression family. Typically 'gaussian' for linear regressions.
...	additional arguments passed to a3.base.

Value

S3 A3 object; see a3.base for details

Examples

 ## Standard linear regression results:

 summary(lm(rating ~ ., attitude))

 ## A3 linear regression results:

 # In practice, p.acc should be <= 0.01 in order
 # to obtain fine grained p values.

 a3.lm(rating ~ ., attitude, p.acc = 0.1)

 # This is equivalent both to:

 a3(rating ~ ., attitude, glm, model.args = list(family = gaussian), p.acc = 0.1)

 # and also to:

 a3(rating ~ ., attitude, lm, p.acc = 0.1)
 

A3 documentation built on May 2, 2019, 9:36 a.m.