Cyclops (2.0.2)

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Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis.

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. Please see: Suchard, Simpson, Zorych, Ryan and Madigan (2013) .

Maintainer: Marc A. Suchard
Author(s): Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Sushil Mittal [ctb], Observational Health Data Sciences and Informatics [cph], Marcus Geelnard [cph, ctb] (provided the TinyThread library), Rutgers University [cph, ctb] (provided the HParSearch routine), R Development Core Team [cph, ctb] (provided the ZeroIn routine)

License: Apache License 2.0

Uses: bit, ff, ffbase, MASS, Matrix, Rcpp, survival, ggplot2, gnm, testthat, microbenchmark

Released 9 months ago.

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