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Cyclops: Cyclic Coordinate Descent for Logistic, Poisson and SurvivalAnalysis

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:3.6.0
Depends:R (≥ 3.5.0)
Imports:rlang,Matrix,Rcpp (≥ 0.12.12),Andromeda,dplyr, methods,survival,tidyr,bit,bit64
LinkingTo:Rcpp,RcppEigen (≥ 0.3.2)
Suggests:testthat,readr,MASS,gnm,ggplot2,microbenchmark,cmprsk,boot,rsample
Published:2025-07-18
DOI:10.32614/CRAN.package.Cyclops
Author:Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Eric Kawaguchi [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 ucla.edu>
BugReports:https://github.com/ohdsi/cyclops/issues
License:Apache License 2.0
URL:https://github.com/ohdsi/cyclops
NeedsCompilation:yes
Citation:Cyclops citation info
Materials:README,NEWS
In views:Survival
CRAN checks:Cyclops results

Documentation:

Reference manual:Cyclops.html ,Cyclops.pdf

Downloads:

Package source: Cyclops_3.6.0.tar.gz
Windows binaries: r-devel:Cyclops_3.6.0.zip, r-release:Cyclops_3.6.0.zip, r-oldrel:Cyclops_3.6.0.zip
macOS binaries: r-release (arm64):Cyclops_3.6.0.tgz, r-oldrel (arm64):Cyclops_3.6.0.tgz, r-release (x86_64):Cyclops_3.6.0.tgz, r-oldrel (x86_64):Cyclops_3.6.0.tgz
Old sources: Cyclops archive

Reverse dependencies:

Reverse depends:BrokenAdaptiveRidge,IterativeHardThresholding,SelfControlledCaseSeries
Reverse imports:EvidenceSynthesis,PatientLevelPrediction
Reverse suggests:EmpiricalCalibration

Linking:

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