a3-package: A3 Error Metrics for Predictive Models

Description Details Author(s)

Description

A package for the generation of accurate, accessible, and adaptable error metrics for developing high quality predictions and inferences. The name A3 (pronounced "A-Cubed") comes from the combination of the first letters of these three primary adjectives.

Details

The overarching purpose of the outputs and tools in this package are to make the accurate assessment of model errors more accessible to a wider audience. Furthermore, a standardized set of reporting features are provided by this package which create consistent outputs for virtually any predictive model. This makes it straightforward to compare, for instance, a linear regression model to more exotic techniques such as Random forests or Support vector machines.

The standard outputs for each model fit provided by the A3 package include:

The primary functions that will be used are a3 for arbitrary modeling functions and a3.lm for linear models. This package also includes print.A3 and plot.A3 for outputting the A3 results.

Author(s)

Scott Fortmann-Roe scottfr@berkeley.edu http://Scott.Fortmann-Roe.com


A3 documentation built on May 30, 2017, 12:41 a.m.

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