Dear R experts,
Having an ordinal response (3 levels) and factors in the predictors set,
I would like to fit Proportional Odds Group Lasso.
I found several packages that fit the group lasso:
grplasso, grpreg, gglasso and ordPens.
However, they vary penalty and implementation in several ways, b
Dear Benjamin
This solved the problem.
On 03/20/2015 04:06 PM, Benjamin Hofner wrote:
> First, mboost expects the offset to be a scalar or a vector with length
> equal to the number of observations.
> (i.e., x'beta)
ok, I could not figure out how to get the correct link vector from the
polr.
Dear R team
The package mboost allows for boosting of proportional odds models.
However, I would like to include an offset for every observation. This
produces an error - no matter how I put the offset (as response
probabilities or as response link).
Fitting gamboost-models with offset works
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