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...
- regarding `mstop(cvm)` which was 30 at the time of writing and now is 33. - regarding `coef(mod[mstop(cvm)])`; Now 7 instead of 5 base-learners are selected. (see pull request #38)
In the current `mboost()` implementation only one argument `weights` exists that is used for data and for resampling weights. Data weights can occur for example as weights in surveys or...
The row tensor product in the `%X%`-operator (https://github.com/boost-R/mboost/blob/master/R/bl.R#L1111) may fail for large matrices due to a stack overflow or "long vectors not supported yet"-error. This is particularly relevant when utilizing...
(See boost-R/gamboostLSS#13) One should try to interpret 1 generally as intercept. Thus instead of ``` cars$int
When `%O%` is called with a specification of `df`in both base-learners, e.g. `bbs(x1, df = df1) %O% bbs(x2, df = df2)`, the global `df`for the Kroneckered base-learner is computed as...
Almond Stöcker und Tobi Kühn have started to write a function to extract the amount of risk reduction contributed by each base-learner from a fitted `mboost` model. We'd like to...
This is about a `bols(x)`-base-learner when `x` is a matrix. I fitted the model without problems but then I was not able to use `predict()` with `newdata`. I asume that...
The newly written `stabsel.mboost` function in mboostDevel seems to have two problems: - It uses (much) more working space as the previous version based on `cvrisk` - It is (much)...
Can we implement Complex Regional Spatial Smoothers (Scott-Hayward et al, 2013) into the boosting framework? (request by Adam Smith) Scott-Hayward, L. a. S., M. L. Mackenzie, C. R. Donovan, C....