ExtractBestIndividual: Indentify the individual with the best fitness in a given...

In stat243proj/GA: Appllies a modified genetic algorithm to some dataset, in order to assess what combination of predictor variables are best able to predict

Description

ExtractBestIndividual() ExtractBestIndividual() identifies the most fit individual within a generation and returns linear regression object produced by either lm or glm. It also prints a summary of the linear regression object and the fitness value if prompted by the user.

Usage

ExtractBestIndividual(generation, fitness.vec)

Arguments

generation	A list of individual genomes or co-variate sets
fitness.vec	A vector of the fitness values for the input generation
plot.flat	A binary flag (0/1) which indicates whether to print a summary of the fitness of the best individual

Details

Called from within Select()

Examples

\code{\link[GA]{Select}}
\code{\link{glm}}
\code{\link{lm}}

stat243proj/GA documentation built on May 15, 2019, 5:03 a.m.