Description Usage Arguments Author(s) See Also
View source: R/detectchangepoint.R
This function looks for the 'optimal' number of recent days to exclude from
the temporal trend fitting in asmodee. The procedure selects
the value of k
which maximises the sum if i) the number of nonoutliers in
training set (before the last k
points) ii) the number of outliers in the
last k
points. Note that for each value of k
investigated, model
selection is performed as described in ?asmodee
.
1 2 3 4 5 6 7 8 9 10  detect_changepoint(
data,
models,
date_index,
alpha = 0.05,
max_k = 7,
method = trendeval::evaluate_resampling,
include_warnings = FALSE,
...
)

data 
A 
models 
A list of 
date_index 
The name of a variable corresponding to time, quoted or not. 
alpha 
The alpha threshold to be used for the prediction interval calculation; defaults to 0.05, i.e. 95% prediction intervals are calculated. 
max_k 
An 
method 
A function used to evaluate model fit. Current choices are

include_warnings 
Include results in output that triggered warnings but
not errors. Defaults to 
... 
Further arguments passed to 
Thibaut Jombart
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