paradd_features: Add features like stage and tumor type to an initialized...

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

Description

Add features like stage and tumor type to an initialized population - parallelized

Usage

paradd_features(popbysim, probs, names = NULL, ncores = 4)

Arguments

popbysim	A matrix of dimensions (population size)x(number of sims)
probs	A vector of probabilities summing to 1. Each probability represents the probability of being in each feature group stage and tumor-type subgroup
stagetumor	Optional vector of names corresponding to the stage-tumor subgroups in probs. Defaults to 1:length(probs) param ncores Number of cores

Value

Matrix of dimensions (pop size)x(nsim) indicating stage-tumor status according to the 'names' parameter Defaults to 1:length(probs)

Examples

Say there are four stage-ER receptor subgroups that have equal probability,
in a population of size 20 and 2 simulations
add_features(matrix(1, nrow=20, ncol=2), probs=c(0.25, 0.25, 0.25, 0.25))
Could ID the groups by name
add_features(matrix(1, nrow=20, ncol=2), probs=c(0.25, 0.25, 0.25, 0.25),
             names=c('EarlyER+', 'EarlyER-', 'AdvancedER+', 'AdvancedER-'))

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