| class_input {changepoint} | R Documentation | 
Input all required arguments into cpt classes - Only intended for developer use.
Description
This function helps to input all the necessary information into the correct format for cpt and cpt.range classes.
This function is called by cpt.mean, cpt.var and cpt.meanvar when class=TRUE.  This is not intended for use by regular users of the package.  It is exported for developers to call directly for speed and convenience.
WARNING: No checks on arguments are performed!
Usage
class_input(data, cpttype, method, test.stat, penalty, pen.value, minseglen, 
param.estimates, out=list(), Q=NA, shape=NA)
Arguments
data | 
 Data used in changepoint analysis, see   | 
cpttype | 
 Type of changepoint analysis performed as a text string, e.g. "Mean", "Mean and Variance".  | 
method | 
 Method used as a text string, see   | 
test.stat | 
 The assumed test statistic / distribution of the data as a text string.  , see   | 
penalty | 
 Penalty used as a text string, see   | 
pen.value | 
 Numerical penalty value used in the analysis (positive).  | 
minseglen | 
 Minimum segment length used in the analysis (positive integer).  | 
param.estimates | 
 Logical. If TRUE then parameter estimates are calculated. If FALSE no parameter estimates are calculated and the slot is blank in the returned object.  | 
out | 
 List of output from   | 
Q | 
 The value of   | 
shape | 
 Value of the assumed known shape parameter required when test.stat="Gamma".  | 
Details
This function takes all the input required for the cpt or cpt.range classes and enters it into the object.
This function is exported for developer use only.  It does not perform any checks on inputs and is simply a convenience function for converting the output of the worker functions into a nice format for the cpt and cpt.range classes.
Value
An object of class cpt or cpt.range as appropriate filled with the given attributes.
Author(s)
Rebecca Killick
See Also
cpt.var,cpt.mean,plot-methods,cpt
Examples
#This function should only be used by developers, see its use in cpt.mean, cpt.var and cpt.meanvar.