sim.tau: Simulate probability of leaving origin (tau)

In gilesjohnr/hmob: Tools for analyzing human mobility data

Description

A function that takes a matrix containing the empirical proportion of individuals that leave origin i for each date in the trip duration data and simulates one stochastic realization of tau (the overall probability of leaving origin i). The function does so by calculating the mean and variance of p for each origin i, and then derives the shape and rate parameters for the beta distribution.

Usage

sim.tau(p)

Arguments

p	A matrix giving the observed proportion of individuals of leaving origin i for each day in the trip suration data

Value

a numerical vector with values between 0 and 1

Author(s)

John Giles

See Also

Other simulation: calc.hpd(), calc.prop.inf(), calc.prop.remain(), calc.timing.magnitude(), calc.wait.time(), decay.func(), get.age.beta(), get.beta.params(), sim.TSIR.full(), sim.TSIR(), sim.combine.dual(), sim.combine(), sim.gravity.duration(), sim.gravity(), sim.lambda(), sim.pi(), sim.rho()

Examples

load('./data/leave_data.Rdata')
load('./data/stay_data.Rdata')

prop.leave <- leave/stay

tau.hat <- sim.tau(prop.leave)
head(tau.hat)

gilesjohnr/hmob documentation built on Aug. 8, 2020, 1:26 a.m.