cyclops: Cyclops: Cyclic coordinate descent for logistic, Poisson and...

cyclopsR Documentation

Cyclops: Cyclic coordinate descent for logistic, Poisson and survival analysis

Description

The Cyclops package 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.

Author(s)

Maintainer: Marc A. Suchard msuchard@ucla.edu

Authors:

  • Martijn J. Schuemie

  • Trevor R. Shaddox

  • Yuxi Tian

  • Jianxiao Yang

  • Eric Kawaguchi

Other contributors:

  • Sushil Mittal [contributor]

  • Observational Health Data Sciences and Informatics [copyright holder]

  • Marcus Geelnard (provided the TinyThread library) [copyright holder, contributor]

  • Rutgers University (provided the HParSearch routine) [copyright holder, contributor]

  • R Development Core Team (provided the ZeroIn routine) [copyright holder, contributor]

See Also

Useful links:


Cyclops documentation built on April 3, 2025, 8:59 p.m.