paperGraph | R Documentation |
Graphs of our paper in JSS (Journal of Statistical Software)
paperGraph(nb, penalty = 0, decay = 1, gap = 0, oneValue = 0, K = Inf, a = 0)
nb |
the number of the Figure in paper |
penalty |
the penalty to use for change-point |
decay |
a nonnegative number to give the strength of the exponential decay into the segment |
gap |
a nonnegative number to constrain the size of the gap in the change of state |
oneValue |
the value for parameter when we consider the collective anomalies problem |
K |
a positive number. Threshold for the Biweight robust loss |
a |
a positive number. Slope for the Huber robust loss |
a dataframe with 9 variables :
columns are named "state1"
, "state2"
, "type"
, "parameter"
, "penalty"
, "K"
, "a"
, "min"
, "max"
with additional "graph"
class.
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