Benjamin Hofner
Benjamin Hofner
I am wondering that the code breaks with the CRAN version but not the github version as they should be practically identical and we did not modify anything wrt to...
In principle, I like the idea. However, the downside is that a lot of code breaks or might break. Hence, I am not sure if we really should do this....
If you really want to go that way, you should fork mboost, implement the change, make sure that the manuals and all code within mboost (also in the tests) uses...
Check that `off2int` is also changed in `plot.glmboost()`
Started preparation in branch [separate_docs](https://github.com/boost-R/mboost/tree/separate_docs)
Thanks a lot for the patch and sorry for my rather slow response. Time is always (too) scarce. Unfortunately I cannot check the PR on windows as Appveyor is causing...
Still not working, now due to another issue related to BioC... I was hoping it is working out by the time by itself. Very annoying.
The issue is based on the way the CIs are computed: A nested bootstrap method is used as seen in the manual under Details > Use a nested boostrap approach...
The intention is that not all baselearners have coefficients. If I am remembering correctly the only BL without coefficients is btree, though: ```R library("mboost") mod
Just to understand you correctly: You were computing CIs for fixed effects and were not interestesd in the random effects? In that case I would agree that dropping unused levels...