This model fitting tool incorporates cyclic coordinate descent and majorization-minimization approaches to fit a variety of regression models found in large-scale observational healthcare data. Implementations focus on computational optimization and fine-scale parallelization to yield efficient inference in massive datasets.
|Author||Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut]|
|Maintainer||Marc A. Suchard <[email protected]>|
|License||Apache License 2.0|
|Package repository||View on GitHub|
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