Retrieve the arguments that a model-fitting function used
model_args.RdRetrieve the arguments that a model-fitting function used
Usage
model_args(object, ...)
# Default S3 method
model_args(object, ...)
# S3 method for class 'seg_cpt'
model_args(object, ...)
# S3 method for class 'ga'
model_args(object, ...)
# S3 method for class 'cpt'
model_args(object, ...)
# S3 method for class 'cptga'
model_args(object, ...)
# S3 method for class 'segmented'
model_args(object, ...)
# S3 method for class 'breakpointsfull'
model_args(object, ...)
# S3 method for class 'wbs'
model_args(object, ...)Details
Every model is fit by a model-fitting function, and these functions sometimes
take arguments.
model_args() recovers the arguments that were passed to
the model fitting function when it was called.
These are especially
important when using a genetic algorithm.
See also
Other model-fitting:
fit_arima(),
fit_lmshift(),
fit_meanshift(),
fit_meanvar(),
fit_nhpp(),
model_name(),
new_fun_cpt(),
whomademe()
Other segmenter-functions:
as.segmenter(),
fitness(),
seg_params()
Examples
# Segment a time series using Coen's algorithm
x <- segment(CET, method = "ga-coen", maxiter = 3)
#> Seeding initial population with probability: 0.0327868852459016
# Recover the arguments passed to the model-fitting function
x |>
as.segmenter() |>
model_args()
#> $model_fn
#> [1] "nhpp"
#>
#> $penalty_fn
#> [1] "BMDL"
#>