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I'm not sure if this is due to something I am doing, but I am trying to follow along with the example from your Journal of Statistical Software paper, but I am using my own dataset as the one in the paper seems to not be available. I hit a problem when I try to use peperr to create prediction error curves with this code:
which is just the code you provide on pages 10-11 of the manuscript, modified to reflect my dataset. When I run this I get the following error:
Explicit sfStop() is missing: stop now.
snowfall 1.84-6.1 initialized (using snow 0.4-3): parallel execution on 3 CPUs.
Library peperr loaded.
Library peperr loaded in cluster.
Library c060 loaded.
Library c060 loaded in cluster.
Error in checkForRemoteErrors(val) :
3 nodes produced errors; first error: object 'km.apparent' not found
I've tried this on Mac and a Linux RHEL7 server and got the same error - and I guess km.apparent is an internal function because I can't find it when I google. Can someone help me understand what is going on? Please let me know if you need additional information and thank you so much!
The text was updated successfully, but these errors were encountered:
Hello,
I'm not sure if this is due to something I am doing, but I am trying to follow along with the example from your Journal of Statistical Software paper, but I am using my own dataset as the one in the paper seems to not be available. I hit a problem when I try to use peperr to create prediction error curves with this code:
which is just the code you provide on pages 10-11 of the manuscript, modified to reflect my dataset. When I run this I get the following error:
I've tried this on Mac and a Linux RHEL7 server and got the same error - and I guess km.apparent is an internal function because I can't find it when I google. Can someone help me understand what is going on? Please let me know if you need additional information and thank you so much!
The text was updated successfully, but these errors were encountered: