simpolicies: Run the model for a series of policies and compare outcomes...

In cancerpolicy/bcimodel: Model the impact of early detection and treatment interventions for breast cancer

Description

Run the model for a series of policies and compare outcomes to the base case Wrapper function for the whole model

Usage

simpolicies(scenarios, naturalhist, treatinfo, agesource = "Standard",
  minage = 0, maxage = 100, incsource = "Uganda",
  mortsource = "Uganda", popsize = 1e+05, sims = 5, futimes = c(5,
  10), returnstats = c("mean"), denom = 1e+05)

Arguments

scenarios	Data frame of scenarios to simulate (see example below as well as the check_scenarios function). First scenario should be the base case.
naturalhist	Data frame with natural history parameters (see compile_naturalhist)
treatinfo	Data frame with treatment hazard ratios, and for each scenario, treatment proportions, by stage-subgroups. See the example and the vignette
agesource	Country to use for age structure (see data(agestructure) )
minage	Lower age limit for population at sim start
maxage	Upper age limit for population at sim start
incsource	Country to use for incidence rates (see data(incratesf) )
mortsource	Country to use for life table (see data(allmortratesf) )
popsize	Size of population to simulate
sims	Number of simulations
futimes	Follow-up times at which to tally outcomes, in years
returnstats	Defaults to simulation means, but you can also ask for c("mean", "lower", "upper"). Lower and upper report the 2.5% and 97.5% quantiles respectively.
Denominator/population	size by which to report outcomes; default is 100,000

Value

Data frame if returnstats="mean", or list of data frames of length(returnstats)

Examples

# Use example input data loaded in package, object name "ex1"
data(ex1) 
ex1

# Element "pol" shows the 3 scenarios being modeled
"nh" contains the natural history information
"map" contains numeric indicators for the stage-subgroups
"tx" shows treatment hazard ratios and, for each scenario, the treatment distribution. See vignette for more details

# Run a model using ex1 inputs and the defaults
uganda_stdpop <- simpolicies(ex1$pol, ex1$nh, ex1$tx)

cancerpolicy/bcimodel documentation built on June 30, 2019, 12:39 a.m.