mboost
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boost-R
Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/pac...
Search for `baselearner` in this package, not in the caller's namespace. When `baselearner` is given as a string, it's limited (by `match.arg`) to the pre-defined choices `c("bbs", "bols", "btree", "bss",...
Hello, Apologies for all the issues I've raised recently. My coauthor and I have found a lot of value in `mboost` so we have been using it a lot lately....
```r ## monotonicity with interaction and factor library("mboost") ## simulate some data set.seed(1234) x1
- [ ] Provide a single overview page with links to all families - [ ] Provide separate manuals for each family (BH) - [ ] Improve manuals of each...
- [ ] Provide a single overview page with links to all base-learners - [ ] Provide separate manuals for each base-learner (BH) - [ ] Improve manuals of each...
Shouldn't we perhaps change the default of `off2int` to `TRUE` in `coef.glmboost()` ? ``` R x
It is not really clear how to specify a ridge-penalized and an oridinal penalized base-learner. Rewrite text and give an example.
I have been able to perform many large runs through many datasets using the Gaussian and Binomial families for, however I am unable to perform the same test using the...
