Cyclops is part of the OHDSI Methods Library.
Cyclops (Cyclic coordinate descent for logistic, Poisson and survival analysis) is an R package for performing large scale regularized regressions.
- Regression of very large problems: up to millions of observations, millions of variables
- Supports (conditional) logistic regression, (conditional) Poisson regression, as well as (conditional) Cox regression
- Uses a sparse representation of the independent variables when appropriate
- Supports using no prior, a normal prior or a Laplace prior
- Supports automatic selection of hyperparameter through cross-validation
- Efficient estimation of confidence intervals for a single variable using a profile-likelihood for that variable
library(Cyclops)
cyclopsData <- createCyclopsDataFrame(formula)
cyclopsFit <- fitCyclopsModel(cyclopsData)Cyclops in an R package, with most functionality implemented in C++. Cyclops uses cyclic coordinate descent to optimize the likelihood function, which makes use of the sparse nature of the data.
Requires R (version 3.1.0 or higher). Compilation on Windows requires RTools >= 3.4.
In R, to install the latest stable version, install from CRAN:
install.packages("Cyclops")To install the latest development version, install from GitHub. Note that this will require RTools to be installed.
install.packages("devtools")
devtools::install_github("ohdsi/Cyclops")- Package manual: Cyclops manual
- Developer questions/comments/feedback: OHDSI Forum
- We use the GitHub issue tracker for all bugs/issues/enhancements
Cyclops is licensed under Apache License 2.0. Cyclops contains the TinyThread libray.
The TinyThread library is licensed under the zlib/libpng license as described here.
Cyclops is being developed in R Studio.
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- This project is supported in part through the National Science Foundation grants IIS 1251151 and DMS 1264153.