What is IVGMMResults in the StatsModels library?

The following recipe explains what is IVGMMResults in StatsModels library

Recipe Objective - What is IVGMMResults in the StatsModels library?

IVGMMResults is a results class of IVGMM.
It belongs to the class statsmodels.sandbox.regression.gmm.IVGMMResults(args, *kwds).

List of Classification Algorithms in Machine Learning 

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Attributes:

bse
The standard errors of the parameter estimates.

bse_
standard error of the parameter estimates

fittedvalues
Fitted values

jval
nobs_moms attached by momcond_mean

llf
Log-likelihood of model

pvalues
The two-tailed p values for the t-stats of the params.

q
Objective function at params

resid
Residuals

ssr
Sum of square errors

tvalues
Return the t-statistic for a given parameter estimate.

Methods:

calc_cov_params(moms, gradmoms[, weights, ...])
calculate covariance of parameter estimates

compare_j(other)
overidentification test for comparing two nested gmm estimates

initialize(model, params, **kwargs)
Initialize (possibly re-initialize) a Results instance.

jtest()
overidentification test

load(fname)
Load a pickled results instance

predict([exog, transform])
Call self.model.predict with self.params as the first argument.

save(fname[, remove_data])
Save a pickle of this instance.

summary([yname, xname, title, alpha])
Summarize the Regression Results

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