RunClusterOptimisation: Cluster optimisation function.

In jackolney/CascadeDashboard: A Shiny App for Investigating The Current Trajectory of HIV Care

Description

This function controls the entire optimisation procedure in CascadeDashboard, and is a port of the version used in the R-package

Usage

RunClusterOptimisation(AdvCalib, CalibOut, CalibParamOut, intLength, intSwitch,
  MasterData, OptInput, propRuns, reactiveAdjustCost, reactiveCost, runError,
  SafeReactiveCost, selectedRuns)

Arguments

AdvCalib	advanced mortality adjustments set during calibration
CalibOut	results from calibration
CalibParamOut	parameter values from calibration
intLength	integer defining number of individual intervention permutations to simulate
intSwitch	intervention boolean switches
MasterData	model master data structure
OptInput	optimisation input data.frame
propRuns	proportion of total simulations to sample during optimisation
reactiveAdjustCost	cost-adjustment switch (scaling HIV-testing unit cost)
reactiveCost	data.frame of unit costs
runError	errors resulting from calibration
SafeReactiveCost	default unit cost values
selectedRuns	sampled runs from calibration that will be optimised

jackolney/CascadeDashboard documentation built on May 18, 2019, 7:56 a.m.