sampler: Sampler to sample parameters from a uniform distribution

View source: R/simulations.R

samplerR Documentation

Sampler to sample parameters from a uniform distribution

Description

Funtion that will sample parameter values from a uniform distribution based on latin hypercube sampling.

Usage

sampler(n = 100)

Arguments

n

numeric for the number of samples. Default is set to 100.

Details

This function will sample from a uniform distribution parameter values for b, initS (initial size of susceptibles), import (importation rate), st (start time) and E (initial size of exposed individuals). Boundaries for each parameter: b: min = 15, max = 25 initS: min = 1e4, max = 1e6 import: min = 1, max = 10 st: min = 2020.10, max = 2020.15 E: min = 1, max = 30

Value

dataframe for parameters sampled.

Examples

#the example below will sample 100 parameter values for each b, initS, import,
and st from a uniform ditribution
parameters <- sampler()

thednainus/sarscov2simulations documentation built on Feb. 9, 2023, 2:12 p.m.