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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: | 3.4.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | rlang, Matrix, Rcpp (≥ 0.12.12), Andromeda (≥ 0.3.1), dplyr, methods, survival, bit64 |
| LinkingTo: | Rcpp, RcppEigen (≥ 0.3.2), RcppParallel |
| Suggests: | testthat, readr, MASS, gnm, ggplot2, microbenchmark, cmprsk |
| Published: | 2024-06-06 |
| 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 |
| Reference manual: | Cyclops.pdf |
| Package source: | Cyclops_3.4.1.tar.gz |
| Windows binaries: | r-devel: Cyclops_3.4.1.zip, r-release: Cyclops_3.4.1.zip, r-oldrel: Cyclops_3.4.1.zip |
| macOS binaries: | r-release (arm64): Cyclops_3.4.1.tgz, r-oldrel (arm64): Cyclops_3.4.1.tgz, r-release (x86_64): Cyclops_3.4.1.tgz, r-oldrel (x86_64): Cyclops_3.4.1.tgz |
| Old sources: | Cyclops archive |
| Reverse depends: | BrokenAdaptiveRidge, IterativeHardThresholding |
| Reverse imports: | EvidenceSynthesis |
| Reverse suggests: | EmpiricalCalibration |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.