Almond-S/mboost_symmetric

Symmetry constraints in bbs baselearner

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mboost

mboost implements boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data.

Using mboost

For installation instructions see below.

Instructions on how to use mboost can be found in various places:

Have a look at the tutorials:
- mboost tutorial
- mboost 2.0
Visit the project homepage and see further tutorials and references there.

Issues & Feature Requests

For issues, bugs, feature requests etc. please use the GitHub Issues.

Installation Instructions

Current version (from CRAN):
```
install.packages("mboost")
```
Latest patch version (patched version of CRAN package; under development) from GitHub:
```
library("devtools")
install_github("boost-R/mboost")
library("mboost")
```
Latest development version (version with new features; under development) from GitHub:
```
library("devtools")
install_github("boost-R/mboost", ref = "devel")
library("mboost")
```
To be able to use the install_github() command, one needs to install devtools first:
```
install.packages("devtools")
```