#' @title Returns a variance-covariance matrix for a Cox proportional hazards model
#' @description This function returns a variance-covariance matrix
#' for a Cox proportional hazards model.
#' @details This is a function that returns a variance-covariance matrix for a fitted Cox
#' proportional hazards model that has previously been generated on the server side.
#'
#' Server function called: \code{vcovDS.coxph}.
#'
#' @param object character string (potentially including \code{*} symbol without spaces)
#' specifying the name of the fitted server-side Cox proportioanl hazards model
#' that has been created using ds.coxphSLMAassign()
#' @param datasources a list of \code{\link{DSConnection-class}} objects obtained after login.
#' If the \code{datasources} argument is not specified
#' the default set of connections will be used: see \code{\link{datashield.connections_default}}.
#' For more information see \strong{Details}.
#' @return \code{coxphSummaryDS} returns to the client-side the variance-covariance matrix of
#' the Cox proportional hazards model
#' @author Soumya Banerjee and Tom RP Bishop, 2021
#' @import DSI
#' @examples
#' \dontrun{
#'
#' ## Version 1.0.0
#'
#' # connecting to the Opal servers
#'
#' require('DSI')
#' require('DSOpal')
#' require('dsBaseClient')
#'
#' builder <- DSI::newDSLoginBuilder()
#' builder$append(server = "study1",
#' url = "http://192.168.56.100:8080/",
#' user = "administrator", password = "datashield_test&",
#' table = "SURVIVAL.EXPAND_NO_MISSING1", driver = "OpalDriver")
#' builder$append(server = "study2",
#' url = "http://192.168.56.100:8080/",
#' user = "administrator", password = "datashield_test&",
#' table = "SURVIVAL.EXPAND_NO_MISSING2", driver = "OpalDriver")
#' builder$append(server = "study3",
#' url = "http://192.168.56.100:8080/",
#' user = "administrator", password = "datashield_test&",
#' table = "SURVIVAL.EXPAND_NO_MISSING3", driver = "OpalDriver")
#' logindata <- builder$build()
#'
#' connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D")
#'
#' # make sure that the outcome is numeric
#' ds.asNumeric(x.name = "D$cens",
#' newobj = "EVENT",
#' datasources = connections)
#'
#' ds.asNumeric(x.name = "D$survtime",
#' newobj = "SURVTIME",
#' datasources = connections)
#'
#' dsSurvivalClient::ds.Surv(time='SURVTIME', event='EVENT', objectname='surv_object')
#'
#' dsSurvivalClient::ds.coxphSLMAassign(formula = 'surv_object ~ D$female',
#' dataName = 'D', datasources = connections,
#' objectname = 'coxph_serverside')
#'
#' dsSurvivalClient::ds.vcov.coxph(object = 'coxph_serverside')
#'
#' # clear the Datashield R sessions and logout
#' datashield.logout(connections)
#' }
#'
#' @export
ds.vcov.coxph <- function(object = NULL,
datasources = NULL
)
{
# look for DS connections
# if one not provided then get current
if(is.null(datasources))
{
datasources <- DSI::datashield.connections_find()
}
# verify that 'object' name of Cox model was set
if(is.null(object))
{
stop(" Please provide a valid name for a server-side Cox proportional hazards model that has been fitted to data !", call.=FALSE)
}
calltext <- call("vcovDS.coxph", object)
# call aggregate function
output <- DSI::datashield.aggregate(datasources, calltext)
# return vcov matrix
return(output)
}
#ds.vcov.coxph
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