Description Usage Arguments Value Author(s) See Also
Computes summary quantities for a model of class eivlm
. The
computations include some quantities for the standard regression model
(uncorrected for covariate measurement error), as well as quantities
relevant to the EIV model.
1 2 |
object |
A model object of class |
correlation, symbolic.cor, ... |
See help for |
An list object of class summary.eivlm
with components:
residuals, fitted.values, N, latent_resvar, vcov, relnames,
coefficients |
See |
call, terms, aliased, df, coefficients |
See |
reliability |
If |
Sigma_error |
If |
symbolic.cor |
If |
latent_R2 |
Maximum likelihood estimate of R-squared for regression of Y on (X,Z). NOTE: This is not the R-squared of the fitted regression of Y on (W,Z). |
latent_R2_dfadj |
Estimate of R-squared for regression of Y on (X,Z) adjusted by number of estimated regression parameters. |
OTHER |
The object also includes components
|
J.R. Lockwood jrlockwood@ets.org
The model fitting function eivreg
, summary
.
Function coef
will extract the matrix of coefficients
with standard errors, t-statistics and p-values.
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