Re: [R] mboost: Proportional odds boosting model - how to specify the offset?

Dear Madlene, the problem that you observed was twofold. First, mboost expects the offset to be a scalar or a vector with length equal to the number of observations. However, fitted(p.iris) is a matrix. In PropOdds(), the linear or additive predictor is shared among all outcome categories and

Re: [R] Predicting New Data -

Sorry, but your current information doesn't help to solve your problem. Not having explicit base-learners is not the cause of your problem, especially as for glmboost() there are no explicit base-learners. You should definitely provide a minimal example that helps to reproduce your error/problem.

Re: [R] problem with predict(mboost,...)

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Re: [R] Out-of-sample predictions with boosting model

Hi Travis, I try to give you some hints that might bring you closer to a solution. The clue to your problem (as far as I understand it) might just be to appropriately use the predict function of mboost. You can specify a new data set (e.g. a part of your original data set not used for

Re: [R] mboost: Interpreting coefficients from glmboost if center=TRUE

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[R] [R-pkgs] Major update: mboost 2.0-0 released

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