logLikelihood {spfrontier} | R Documentation |
logLikelihood
returns a value of the log likelihood function
for the spatial stochastic frontier model
logLikelihood( formula, data, W_y = NULL, W_v = NULL, W_u = NULL, inefficiency = "half-normal", values, logging = c("quiet", "info", "debug"), costFrontier = F )
formula |
an object of class " |
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 |
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