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...
closes #117 ``` r library(mboost) #> Loading required package: parallel #> Loading required package: stabs library(survival) mod
Getting a survival curve via `survFit()` for just one observation in `newdata` fails. I think it's just a matter of not dropping from a 1-column matrix to a vector in...
I am building a gamboost model with the GammaReg() family. The model fits fine, but when it comes time to predict on a new dataset I am getting an error:...
Is it possible to implement an option / function to boost until convergence, i.e. boosting until the negative gradient does no longer change, or only changes minimally?
Profiling `coef.mboost` for a colleague, I have noticed that it seems to waste time to "check if base-learner has coefficients" here: https://github.com/boost-R/mboost/blob/021e406f40018b23727f6b75c1f2297e82cc1c7c/R/mboost.R#L430 I don't know what the original intention was...
When running the example: ```r ## a simple linear example set.seed(1907) data
Is it possible to add a parameter to the plot functions that lets a user define the grid (or its length) over which the partial dependence plots are evaluated? Right...
In a recent project of us we were required to get the matrix of each baseleaner that is used for prediction. `mgcv::gam` allows this via `predict(model, type="lpmatrix")`. For mboost, we...
I have recently been working with mboost, especially gamboost, for the first time. For a deeper understanding of how the algorithm works, I calculated the first iterations of a basic...
