logLikelihood: Calculation of the log likelihood function for the spatial...

In spfrontier: Spatial Stochastic Frontier Models

Calculation of the log likelihood function for the spatial stochastic frontier model

Description

logLikelihood returns a value of the log likelihood function for the spatial stochastic frontier model

Usage

logLikelihood(
  formula,
  data,
  W_y = NULL,
  W_v = NULL,
  W_u = NULL,
  inefficiency = "half-normal",
  values,
  logging = c("quiet", "info", "debug"),
  costFrontier = F
)

Arguments

formula	an object of class "formula"
data	data frame, containing the variables in the model
W_y	a spatial weight matrix for spatial lag of the dependent variable
W_v	a spatial weight matrix for spatial lag of the symmetric error term
W_u	a spatial weight matrix for spatial lag of the inefficiency error term
inefficiency	sets the distribution for inefficiency error component. Possible values are 'half-normal' (for half-normal distribution) and 'truncated' (for truncated normal distribution). By default set to 'half-normal'.
values	a vector of log likelihood function parameters
logging	an optional level of logging. Possible values are 'quiet','warn','info','debug'. By default set to quiet.
costFrontier	is designed for selection of cost or production frontier

Details

This function is exported from the package for testing and presentation purposes A list of arguments of the function exactly matches the corresponding list of the spfrontier function

spfrontier documentation built on Jan. 30, 2023, 3:02 p.m.