CoxWorkerCoxMaster objects instantiate and run a distributed Cox model
computation fit
CoxMasterAn R6Class generator object
CoxMaster$new(defn, data, debug=FALSE)Create a new CoxMaster object using the defn and data. The debug flag is useful for debugging
logLik(beta, ...)Compute the partial log likelihood for all the data
by aggregating the values at each site. The return value is numeric scalar with
two attributes: gradient contains the score vector, and hessian
contains the estimated hessian matrix
addSite(name, url = NULL, worker = NULL)Add a worker
site for participating in the distributed computation. Exactly one of url or worker should be specified
var(beta, ...)Compute the variance of the parameter vector beta
kosher()Check if inputs and state of object are sane. For future use
getP()Returns the dimension of the parameter vector
run(control)Run the fitting iterations and save the result using control object
summary()Return a summary data frame columns for coef, exp(coef),
standard error, z-score, and p-value for each parameter in the model following
the same format as the survival package
CoxWorker which generates objects matched to such a master object