Sparse Multi-Type Regularized Feature Modeling

Implementation of the SMuRF algorithm of Devriendt et al. (2018) to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.


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Reference manual

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install.packages("smurf")

1.0.0 by Tom Reynkens, 4 months ago


https://gitlab.com/TReynkens/smurf


Report a bug at https://gitlab.com/TReynkens/smurf/issues


Browse source code at https://github.com/cran/smurf


Authors: Tom Reynkens [aut, cre] , Sander Devriendt [aut] , Katrien Antonio [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports catdata, glmnet, graphics, MASS, Matrix, methods, mgcv, parallel, RColorBrewer, Rcpp, speedglm, stats

Suggests bookdown, knitr, roxygen2, testthat

Linking to Rcpp, RcppArmadillo


See at CRAN