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,...)

******* Dipl.-Stat. Benjamin Hofner Institut für Medizininformatik, Biometrie und Epidemiologie Friedrich-Alexander-Universität Erlangen-Nürnberg Waldstr. 6 - 91054 Erlangen - Germany Tel: +49-9131-85-22707 Fax: +49-9131-85-25740 Office: Room 3.036 Uni

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 estimatio

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

hanks. >> >> __ >> R-help at r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-

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

in bols replaced with "intercept" - argument "z" in base-learners replaced with "by" - bns and bss deprecated -- ** Dipl.-Stat. Benjamin Hofner Institut für Medizininformatik, Biome