sim_multinom: Simulate a category assignment using a multinomial...

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

Description

Simulate a category assignment using a multinomial distribution

Usage

sim_multinom(nsims, nreps, probs, names)

Arguments

nsims	Number of size=1 sims from the multinomial
nreps	Number of times to replicate the nsims. Put the smaller number here, the bigger one as nsims
probs	Vector of probabilities for each of the K categories
names	Vector of names associated with each of the categories. Must be of same length as probs. Can be character or numeric. Use numeric row IDs if you're referring to a group defined by multiple variables whose groupings are defined in a separate data frame

Value

Matrix of multinomial draws

Examples

sim_multinom(10, 5, c(0.1, 0.3, 0.6), names=c('a', 'b', 'c'))
sim_multinom(5, 10, c(0.1, 0.3, 0.6), names=c('a', 'b', 'c'))

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