Multitype               Create a multitype outcome object
cacheCyclopsModelForJava
                        Place Cyclops model fit object in a persistent
                        cache
clearCyclopsModelCache
                        Clear the Cyclops persistent cache
coef.cyclopsFit         Extract model coefficients
confint.cyclopsFit      Confidence intervals for Cyclops model
                        parameters
convertToCyclopsData    Convert data from two data frames or ffdf
                        objects into a CyclopsData object
convertToTimeVaryingCoef
                        Convert short sparse covariate table to long
                        sparse covariate table for time-varying
                        coefficients.
coverage                Coverage
createAutoGridCrossValidationControl
                        Create a Cyclops control object that supports
                        multiple hyperparameters
createControl           Create a Cyclops control object
createCyclopsData       Create a Cyclops data object
createNonSeparablePrior
                        Create a Cyclops prior object that returns the
                        MLE of non-separable coefficients
createParameterizedPrior
                        Create a Cyclops parameterized prior object
createPrior             Create a Cyclops prior object
createWeightBasedSearchControl
                        Create a Cyclops control object that supports
                        in- / out-of-sample hyperparameter search using
                        weights
cyclops                 Cyclops: Cyclic coordinate descent for
                        logistic, Poisson and survival analysis
cyclopsLibraryFileName
                        Get full path to installed Cyclops library
fitCyclopsModel         Fit a Cyclops model
fitCyclopsSimulation    Fit simulated data
getCovariateIds         Get covariate identifiers
getCovariateTypes       Get covariate types
getCyclopsProfileLogLikelihood
                        Profile likelihood for Cyclops model parameters
getFineGrayWeights      Creates a 'Surv' object that forces in
                        competing risks and the IPCW needed for
                        Fine-Gray estimation.
getFloatingPointSize    Get floating point size
getHyperParameter       Get hyperparameter
getNumberOfCovariates   Get total number of covariates
getNumberOfRows         Get total number of rows
getNumberOfStrata       Get number of strata
getUnivariableCorrelation
                        Get univariable correlation
getUnivariableSeparability
                        Get univariable linear separability
gradient                Extract gradient
isInitialized           Check if a Cyclops data object is initialized
listGPUDevices          List available GPU devices
logLik.cyclopsFit       Extract log-likelihood
meanLinearPredictor     Calculates xbar*beta
mse                     Mean squared error
oxford                  Oxford self-controlled case series data
predict.cyclopsFit      Model predictions
print.cyclopsData       Print a Cyclops data object
print.cyclopsFit        Print a Cyclops model fit object
readCyclopsData         Read Cyclops data from file
residuals.cyclopsFit    Model residuals
runBootstrap            Run bootstrap for Cyclops model parameters
setOpenCLDevice         Set GPU device
simulateCyclopsData     Simulation Cyclops dataset
splitTime               Split the analysis time into several intervals
                        for time-varying coefficients.
summary.cyclopsData     Cyclops data object summary
survfit.cyclopsFit      Calculate baseline hazard function
testProportionality     Test hazard ratio proportionality assumption
vcov.cyclopsFit         Calculate variance-covariance matrix for a
                        fitted Cyclops model object
