Searching Parsimony Models with Genetic Algorithms

Documentation for package ‘GAparsimony’ version 0.9.4

GAparsimony-package	GAparsimony
GAparsimony	GAparsimony
ga_parsimony	GA-PARSIMONY
ga_parsimony-class	Class "ga_parsimony"
matrixNULL-class	Virtual Class "matrixNULL" - Simple Class for matrix or NULL
numericOrNA	GA-PARSIMONY
numericOrNA-class	Virtual Class "numericOrNA" - Simple Class for subassignment Values
parsimony_Crossover	Crossover operators in GA-PARSIMONY
parsimony_crossover	Crossover operators in GA-PARSIMONY
parsimony_importance	Percentage of appearance of each feature in elitist population
parsimony_lrSelection	Selection operators in GA-PARSIMONY
parsimony_monitor	Functions for monitoring GA-PARSIMONY algorithm evolution
parsimony_Mutation	Mutation operators in GA-PARSIMONY
parsimony_mutation	Mutation operators in GA-PARSIMONY
parsimony_nlrSelection	Selection operators in GA-PARSIMONY
parsimony_Population	Population initialization in GA-PARSIMONY with a combined chromosome of model parameters and selected features
parsimony_population	Population initialization in GA-PARSIMONY with a combined chromosome of model parameters and selected features
parsimony_rerank	Function for reranking by complexity in parsimonious model selection process
parsimony_Selection	Selection operators in GA-PARSIMONY
plot-method	Plot of GA evolution of elitists
plot.ga_parsimony	Plot of GA evolution of elitists
print-method	GA-PARSIMONY
print.summary.ga_parsimony	Summary for GA-PARSIMONY
show-method	GA-PARSIMONY
summary-method	Summary for GA-PARSIMONY
summary.ga_parsimony	Summary for GA-PARSIMONY