smurf

smurf-package

Implementation of the SMuRF algorithm of Devriendt et al. (2021) tools:::Rd_expr_doi("10.1016/j.insmatheco.2020.11.010") to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.

Implementation of the SMuRF algorithm of Devriendt et al. (2021) <doi:10.1016/j.insmatheco.2020.11.010> to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.

Tom Reynkens

Sparse Multi-Type Regularized Feature Modeling

Sander Devriendt

Katrien Antonio

smurf-package function

Maintainer: Tom Reynkens <a href="/link/tomreynkens%40hotmail.com?package=smurf&version=1.1.5" data-mini-rdoc="smurf::tomreynkens@hotmail.com">tomreynkens@hotmail.com</a> (<a href="https://orcid.org/0000-0002-5516-5107">ORCID</a>)
Authors:<ul>
<li>Sander Devriendt <a href="/link/sander.devriendt%40kuleuven.be?package=smurf&version=1.1.5" data-mini-rdoc="smurf::sander.devriendt@kuleuven.be">sander.devriendt@kuleuven.be</a></li>
<li>Katrien Antonio</li>
</ul>

Author

smurf: Sparse Multi-Type Regularized Feature Modeling — smurf-package

Maintainer: Tom Reynkens <a href='mailto:tomreynkens@hotmail.com'>tomreynkens@hotmail.com</a> (<a href='https://orcid.org/0000-0002-5516-5107'>ORCID</a>)
Authors:<ul>
<li>Sander Devriendt <a href='mailto:sander.devriendt@kuleuven.be'>sander.devriendt@kuleuven.be</a></li>
<li>Katrien Antonio</li>
</ul>

smurf-package: smurf: Sparse Multi-Type Regularized Feature Modeling

Description

Arguments

Author

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