Package: Cyclops Type: Package Title: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis Version: 3.7.1 Authors@R: c( person("Marc A.", "Suchard", email = "msuchard@ucla.edu", role = c("aut","cre")), person("Martijn J.", "Schuemie", role = "aut"), person("Trevor R.", "Shaddox", role = "aut"), person("Yuxi", "Tian", role = "aut"), person("Jianxiao", "Yang", role = "aut"), person("Eric", "Kawaguchi", role = "aut"), person("Sushil", "Mittal", role ="ctb"), person("Observational Health Data Sciences and Informatics", role = "cph"), person("Marcus", "Geelnard", role = c("cph", "ctb"), comment = "provided the TinyThread library"), person("Rutgers University", role = c("cph", "ctb"), comment = "provided the HParSearch routine"), person("R Development Core Team", role = c("cph", "ctb"), comment = "provided the ZeroIn routine") ) Description: 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) . License: Apache License 2.0 LazyData: Yes Biarch: true URL: https://github.com/ohdsi/cyclops BugReports: https://github.com/ohdsi/cyclops/issues 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 NeedsCompilation: yes RoxygenNote: 7.3.2 Roxygen: list(markdown = TRUE) Encoding: UTF-8 Config/pak/sysreqs: libicu-dev xz-utils Repository: https://ohdsi.r-universe.dev Date/Publication: 2026-05-26 15:23:19 UTC RemoteUrl: https://github.com/ohdsi/cyclops RemoteRef: HEAD RemoteSha: 89dd48b18fcaa8cc4d88f235b1da38459ab912a3 Packaged: 2026-06-24 01:06:15 UTC; root 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