# Changepoint Detection via Modified Genetic Algorithm

## Documentation for package ‘changepointGA’ version 0.1.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

AMOCcrossover | Average crossover operator to produce offspring for AMOC problem
AMOCmutation | Jump mutation operator to produce offspring for AMOC problem
AMOCpopulation | Random population initialization for AMOC problem
AMOCselection | The parents selection genetic algorithm operator for AMOC problem
ARIMA.BIC | Example function: Calculating BIC for AR(1) model
ARIMA.BIC.Order | Calculating BIC for Multiple changepoint detection with model order selection
cptDist | Comparing multiple changepoint configurations by pairwise distance
cptga | Genetic algorithm
cptga-class | S4 Class Definition for 'cptga'
cptgaisl | Island model based genetic algorithm
cptgaisl-class | S4 Class Definition for 'cptgaisl'
mutation | The default mutation operator in genetic algorithm
plot.cptga | Plot Time Series with Detected Changepoints from a 'cptga' Object
plot.cptgaisl | Plot Time Series with Detected Changepoints from a 'cptgaisl' Object
print.summary.cptga | Print Summary for a 'cptga' Object
print.summary.cptgaisl | Print Summary for a 'cptgaisl' Object
random_population | Random population initialization
selection_linearrank | The default parents selection genetic algorithm operator
selectTau | Randomly select the chromosome
summary-method | S4 Class Definition for 'cptga'
summary-method | S4 Class Definition for 'cptgaisl'
summary.cptga | S4 Class Definition for 'cptga'
summary.cptgaisl | S4 Class Definition for 'cptgaisl'
ts.sim | Time series simulation with changepoint effects
uniformcrossover | Uniform crossover to produce offsprings