Projects: cran: GMMBoost
https://packages.ecosyste.ms/registries/cran.r-project.org/packages/GMMBoost
Likelihood-Based Boosting for Generalized Mixed Models
8 versions
Latest release: almost 2 years ago
1 dependent package
416 downloads last month
Science Score: 83/100
Starting Score: 100 points
Bonuses:
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+8
Academic maintainer emails
1 maintainers with academic email addresses
Penalties:
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-15
No science keywords
No scientific terms found in keywords/classifiers -
-10
No science terms in description
No scientific terms found in description
Very Likely Science (83)
Papers Mentioning GMMBoost 2
10.1371/journal.pone.0254178
Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniquesCited by: 3
Author(s): Colin Griesbach, Andreas Groll, Elisabeth Bergherr
Software Mentions: 6
Published: about 4 years ago
10.1017/cts.2020.556
Variable selection methods for identifying predictor interactions in data with repeatedly measured binary outcomesCited by: 0
Author(s): Bethany J. Wolf, Yunyun Jiang, Sylvia H. Wilson, Jim Oates
Software Mentions: 4
Published: over 4 years ago