ModelEstimates-class: Model Estimation Results

In spfrontier: Spatial Stochastic Frontier Models

Description

ModelEstimates stores information about MLE estimates of a spatial stochastic frontier model

Usage

status(object)

resultParams(object)

hessian(object)

stdErrors(object)

efficiencies(object)

## S4 method for signature 'ModelEstimates'
show(object)

## S4 method for signature 'ModelEstimates'
coefficients(object)

## S4 method for signature 'ModelEstimates'
resultParams(object)

## S4 method for signature 'ModelEstimates'
fitted(object)

## S4 method for signature 'ModelEstimates'
efficiencies(object)

## S4 method for signature 'ModelEstimates'
residuals(object)

## S4 method for signature 'ModelEstimates'
stdErrors(object)

## S4 method for signature 'ModelEstimates'
hessian(object)

## S4 method for signature 'ModelEstimates'
status(object)

## S4 method for signature 'ModelEstimates'
summary(object)

Arguments

object

an object of ModelEstimates class

Details

ModelEstimates stores all parameter estimates and additional statistics, available after estimation of a spatial stochastic frontier model.

Slots

coefficients

estimated values of model parameters

resultParams

raw estimated values

status

model estimation status:
0 - Success
1 - Failed; convergence is not achieved
1000 - Failed; unexpected exception
1001 - Failed; Initial values for MLE cannot be estimated
1002 - Failed; Maximum likelihood function is infinite

logL

value of the log-likelihood function

logLcalls

information abour a number of log-likelihood function and its gradient function calls

hessian

Hessian matrix for estimated coefficients

stdErrors

standard errors of estimated coefficients

residuals

model residuals

fitted

model fitted values

efficiencies

estimates of efficiency values for sample observations

spfrontier documentation built on Dec. 19, 2019, 1:09 a.m.