loglike: Calculating the log-likelihood function.

In RMM: Revenue Management Modeling

Calculating the log-likelihood function.

Description

Calculating model's log-likelihood function. Internal function that users should not call directly.

Usage

loglike(
  eta,
  Choice_Set_List,
  Choice_Set_Code,
  Base_Prod,
  Num_Prod,
  Num_Attr,
  Alts_Same_Choice_Set,
  Is_Purchase
)

Arguments

eta	numeric vector, the model parameters to be estimated
Choice_Set_List	list, product code included for each choice set.
Choice_Set_Code	numeric, choice set code Number specified for calculating log-likelihood.
Base_Prod	numeric, the baseline product number
Num_Prod	numeric, the number of all products in observed data.
Num_Attr	numeric, the number of attributes in observed data.
Alts_Same_Choice_Set	list, for internal calculation, a list of data exposed to the same choice set.
Is_Purchase	list, for internal calculation, list of customers who are exposed to the same choice set who purchased the product. If purchased 1, otherwise 0.

Value

The value of log-likelihood.

RMM documentation built on May 9, 2022, 5:08 p.m.