Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis
Asymptotic confidence intervals for a fitted Cyclops model object
appendSqlCyclopsData
Extract model coefficients
Confidence intervals for Cyclops model parameters
Convert data from two data frames or ffdf objects into a CyclopsData o...
Convert to Cyclops Prior Variance
Convert to glmnet regularization parameter
Convert short sparse covariate table to long sparse covariate table fo...
Coverage
Create a Cyclops control object that supports multiple hyperparameters
Create a Cyclops control object
Create a Cyclops data object
Create a Cyclops prior object that returns the MLE of non-separable co...
Create a Cyclops parameterized prior object
Create a Cyclops prior object
Create a Cyclops control object that supports in- / out-of-sample hype...
Cyclops: Cyclic Coordinate Descent for Logistic, Poisson and Survival ...
Cyclops: Cyclic coordinate descent for logistic, Poisson and survival ...
finalizeSqlCyclopsData
Fit a Cyclops model
Fit simulated data
Get covariate identifiers
Get covariate types
Get cross-validation information from a Cyclops model fit
Compute predictive log-likelihood from a Cyclops model fit
Profile likelihood for Cyclops model parameters
Creates a Surv object that forces in competing risks and the IPCW ne...
Get floating point size
Get hyperparameter
Get total number of covariates
Get total number of rows
Get number of strata
Get total number of outcome types
Extract standard errors
Get univariable correlation
Get univariable linear separability
Check if a Cyclops data object is initialized
List available GPU devices
Extract log-likelihood
Calculates xbar*beta
Mean squared error
Create a multitype outcome object
Plot Cyclops simulation model fit
Model predictions
Print a Cyclops data object
Print a Cyclops model fit object
Print Cyclops data matrix to file
Read Cyclops data from file
Apply simple data reductions
Run Bootstrap for Cyclops model parameter
Set GPU device
Simulation Cyclops dataset
Split the analysis time into several intervals for time-varying coeffi...
Cyclops data object summary
Calculate baseline hazard function
Calculate variance-covariance matrix for a fitted Cyclops model object
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>.