Cyclops: 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) <doi:10.1145/2414416.2414791>.

Version: 3.0.0
Depends: R (≥ 3.1.0)
Imports: rlang, Matrix, Rcpp (≥ 0.12.12), Andromeda (≥ 0.3.1), dplyr, dbplyr, methods, survival
LinkingTo: Rcpp, BH (≥ 1.51.0), RcppEigen (≥ 0.3.2)
Suggests: testthat, MASS, gnm, ggplot2, microbenchmark
Published: 2020-06-05
Author: 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)
Maintainer: Marc A. Suchard <msuchard at>
License: Apache License 2.0
NeedsCompilation: yes
Citation: Cyclops citation info
Materials: README NEWS
CRAN checks: Cyclops results


Reference manual: Cyclops.pdf
Package source: Cyclops_3.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: Cyclops_3.0.0.tgz, r-oldrel: Cyclops_3.0.0.tgz
Old sources: Cyclops archive


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