summary
method for a model of class rendo.latent.IV
resulting from fitting latentIV
# S3 method for rendo.latent.IV
summary(object, ...)
The function summary.rendo.latent.IV
computes and returns a list of summary statistics
which contains the following components:
a px4
matrix with columns for the estimated coefficients, its standard error,
the t-statistic and corresponding (two-sided) p-value.
a named vector with the initial set of parameters used to optimize the log-likelihood function.
a vector specifying which coefficients are from the model. For internal usage.
variance covariance matrix derived from the hessian.
Akaike's An Information Criterion for the model fitted on the provided data.
Schwarz's Bayesian Criterion for the model fitted on the provided data.
first Kuhn, Karush, Tucker optimality condition as returned by optimx.
second Kuhn, Karush, Tucker optimality condition as returned by optimx.
the convergence code as returned by optimx.
the value of the log-likelihood function at the found solution for the provided data.
an object of class rendo.latent.IV
, a result of a call to latentIV
.
ignored, for consistency with the generic function.
The model fitting function latentIV
Function coef
will extract the coefficients
matrix and
function vcov
will extract the component vcov
from the returned summary object.