forecast_demand_sim: Forecast demand by simulation

In nrennie/simnetdemand: Simulate Network Demand

Forecast demand by simulation

Description

This function forecasts demand per fare class

Usage

forecast_demand_sim(
  nsim = 100,
  probs1,
  probs2,
  alpha = 200,
  beta = 1,
  a1 = 1,
  b1 = 1,
  a2 = 1,
  b2 = 1,
  phi1 = 0.5,
  n = 3000,
  hor_length = 30
)

Arguments

nsim	Number of simulations Default 100.
probs1	Numeric vector of probability of purchase in each fare class for customer type 1
probs2	Numeric vector of probability of purchase in each fare class for customer type 2
alpha	Shape parameter of gamma distribution for total demand. Default 200.
beta	Rate parameter of gamma distribution for total demand. Default 1.
a1	Beta distribution parameter 1 for customer type 1. Default 1.
b1	Beta distribution parameter 2 for customer type 1. Default 1.
a2	Beta distribution parameter 1 for customer type 2. Default 1.
b2	Beta distribution parameter 2 for customer type 2. Default 1.
phi1	Percentage of total demand for customer type 1. Default 0.5.
n	Total number of time points that will be generated. Default 3000.
hor_length	Number of points that make up the booking horizon, Default 30.

Value

A numeric value.

nrennie/simnetdemand documentation built on Aug. 30, 2022, 11:20 p.m.