r.squared

model

name

<p>rFSA Criterion Function to compute R squared.</p>

Assists in statistical model building to find optimal and semi-optimal higher order interactions
and best subsets. Uses the lm(), glm(), and other R functions to fit models generated from a feasible
solution algorithm. Discussed in Subset Selection in Regression, A Miller (2002). Applied and explained
for least median of squares in Hawkins (1993) <doi:10.1016/0167-9473(93)90246-P>. The feasible solution
algorithm comes up with model forms of a specific type that can have fixed variables, higher order
interactions and their lower order terms.

Joshua Lambert

rFSA

Feasible Solution Algorithm for Finding Best Subsets and
Interactions

Liyu Gong

Corrine Elliott

Sarah Janse

r.squared function

An rFSA Criterion Function. — r.squared

An rFSA Criterion Function.

r.squared: An rFSA Criterion Function.

Description

Usage

Arguments