Description Usage Arguments Details
View source: R/spfrontier_mle.R
logLikelihood
returns a value of the log likelihood function
for the spatial stochastic frontier model
1 2 3 4 5 6 7 8 9 10 11 |
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
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