select: support function: select()

In arm4nn/GA: Genetic Algorithm

Description

This is the primary function of the R package of this project.

Usage

select(X, Y, popNum = 100, reg = "lm", criterion = "AIC",
  useParallel = FALSE, numCores = 4, usingRank = TRUE, cross_cutNum = 1,
  mutation_prob = 0.01, mut_pCurve = FALSE, initial_zeroRate = 0.5,
  min_iter = 10, max_iter = 500)

Arguments

X	matrix/dataframe; predictors
Y	vector/matrix/dataframe; observations to be used in the fitting process
popNum	integer; What is the population size of chromosomes? Default to 100
reg	string; 'lm'/'glm; What is the regression type? Default to 'lm'
criterion	string; function name; What is the objective criterion function? Default to 'AIC'
useParallel	logic; Should it use parallelization? Default to FALSE
numCores	integer; How many cores should it use? Default to 4
usingRank	logic; TRUE define selection probabilities using the rank and FALSE create selection probabilities proportionate to fitness; defaults to TRUE
cross_cutNum	integer; How many cuts do you want for the crossover? Defaults to 1
mutation_prob	numeric; below or equal to 1 and above or equal to 0; What is the probability of mutation? Defaults to 0.01
mut_pCurve	logic; Should it use curve for the probability of mutation (Starting with a big probability and decreasing to mutation_prob by the time)? Defaults to FALSE.
initial_zeroRate	numeric; below or equal to 1 and above or equal to 0; What is the rate of zero among the genes of the first generation? Defaults to 0.5
min_iter	integer; What is the minimum number of iterations? Defaults to 10.
max_iter	integer; What is the maximum number of iterations? Defaults to 500.

Examples

select()

arm4nn/GA documentation built on May 28, 2019, 7:11 a.m.