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irboost

Fit a predictive model using the Iteratively Reweighted Boosting (IRBoost) to minimize robust loss functions within the CC-family (concave- convex). This constitutes an application of Iteratively Reweighted Convex Optimization (IRCO), where convex optimization is performed using the functional descent boosting algorithm. IRBoost assigns weights to facilitate outlier identification. Applications include robust generalized linear models and robust accelerated failure time models.

How to generate the vignette document?

R CMD Sweave –pdf –clean irbst.Rnw

This requires jss.bst in the same folder.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.