r-smurf 1.1.8
Propagated dependencies: r-catdata@1.2.4 r-glmnet@4.1-10 r-mass@7.3-65 r-matrix@1.7-4 r-mgcv@1.9-4 r-rcolorbrewer@1.1-3 r-rcpp@1.1.0 r-rcpparmadillo@15.2.2-1
Channel: guix
Home page: https://gitlab.com/TReynkens/smurf
Licenses: GPL 2+
Build system: r
Synopsis: Sparse multi-type regularized feature modeling
Description:
The smurf package contains the implementation of the Sparse Multi-type Regularized Feature (SMuRF) modeling algorithm to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood. Next to the fitting procedure, following functionality is available:
Selection of the regularization tuning parameter lambda using three different approaches: in-sample, out-of-sample or using cross-validation.
S3 methods to handle the fitted object including visualization of the coefficients and a model summary.
Total results: 1