Comments (4)
Jiangchao3
commented on June 10, 2024
I noticed that the segment check is applying the Shapiro-Wilk normality test, KS test, qqPlot, AcfPlot to each segment. It means I should test or plot N+1 times if there are N changepoints. The residual check just test and plot once. I think I should choose the residual check because my data have more than 10 changepoints.
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Jiangchao3
commented on June 10, 2024
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rkillick
commented on June 10, 2024
Personally, I would always use the residual check at this gives larger n and thus more power. I have removed the segment check in the latest version of my course.
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Jiangchao3
commented on June 10, 2024
Thank you! I have noticed the change in your latest course.
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Related Issues (20)
- binseg returns incorrect segment means HOT 5
- NegBin distribution / R-GSOC'21 project? HOT 3
- cpt.meanvar return cost value? HOT 3
- `plot` of Changepoint object is not working HOT 3
- Q for cpt.meanvar with method=SegNeigh and sumstat = Poisson or Exp HOT 1
- logLik cpt.meanvar output when method="SegNeigh"
- availability of changeppoint.influence library HOT 2
- cpt.meanvar returns an extra changepoint location when locations are called directly HOT 2
- Should cpt.var allow minseglen = 1? HOT 1
- Can cpt.reg class still be used? HOT 1
- SegNeigh/SNIP GSOC project? HOT 2
- cpt.mean doesn't accept a ts object HOT 3
- BinSeg returns zeros in cpts.full matrix
- cpt.mean(method="BinSeg") slower than expected/optimal for large number of data and changes HOT 1
- diagnostic = TRUE does not work HOT 1
- Checking for 1D objects via `is.null(dim(x))` breaks for 1D-arrays HOT 3
- logLik() should return an object of class "logLik" HOT 5
- possible bug in logLik() computation HOT 2
- figure out reasonable calculation for fitted.nhpp() HOT 1
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