mdcev_forecast: Forecast MDCEV consumption using native Biogeme algorithms
In rbiogeme: Interface to 'Biogeme'

mdcev_forecast

R Documentation

Forecast MDCEV consumption using native Biogeme algorithms

Description

Forecast MDCEV consumption using native Biogeme algorithms

Usage

mdcev_forecast(
  model,
  fit,
  database = NULL,
  total_budget,
  epsilons = NULL,
  number_of_draws = NULL,
  seed = NULL,
  brute_force = FALSE,
  tolerance_dual = 1e-10,
  tolerance_budget = 1e-10
)

Arguments

`model`	A `biogeme_mdcev_model()` object.
`fit`	A fresh `mdcev_estimate()` result.
`database`	Optional database used only for forecasting. This permits forecasting a native row subset without changing the estimation fit.
`total_budget`	Positive total budget.
`epsilons`	Optional list of Gumbel-draw matrices. If omitted, native draws are generated using `number_of_draws` and `seed`.
`number_of_draws`	Number of draws when `epsilons` is omitted.
`seed`	Optional native NumPy seed when draws are generated.
`brute_force`	Whether to use native brute-force optimization.
`tolerance_dual`	Native dual-variable tolerance.
`tolerance_budget`	Native budget-constraint tolerance.