Changepoint Detection via Modified Genetic Algorithm

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Documentation for package ‘changepointGA’ version 0.1.4

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package README

Help Pages

amoc_crossover	Average crossover operator to produce offspring for AMOC problem
amoc_mutation	Jump mutation operator to produce offspring for AMOC problem
amoc_population	Random population initialization for AMOC problem
amoc_selection	The parents selection genetic algorithm operator for AMOC problem
arima_bic	Example function: Calculating BIC for AR(1) model
arima_bic_order_pdq	Calculate BIC for changepoint detection with ARIMA order selection
arima_bic_order_pq	Calculating BIC for Multiple changepoint detection with AR and MA order selection
cptga	Genetic algorithm
cptga-class	S4 Class Definition for 'cptga'
cptgaisl	Island model based genetic algorithm
cptgaisl-class	S4 Class Definition for 'cptgaisl'
cpt_dist	Comparing multiple changepoint configurations by pairwise distance
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_linear_rank	The default parents selection genetic algorithm operator
select_tau	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
uniform_crossover	Uniform crossover to produce offsprings