Summary and print methods for class 'dfm'. print.dfm just prints basic model information and the factor transition matrix \(\textbf{A}\), coef.dfm returns \(\textbf{A}\) and \(\textbf{C}\) in a plain list, whereas
summary.dfm returns all system matrices and additional residual and goodness of fit statistics---with a print method allowing full or compact printout.
# S3 method for dfm
print(x, digits = 4L, ...)# S3 method for dfm
coef(object, ...)
# S3 method for dfm
logLik(object, ...)
# S3 method for dfm
summary(object, method = switch(object$em.method, none = "2s", "qml"), ...)
# S3 method for dfm_summary
print(x, digits = 4L, compact = sum(x$info["n"] > 15, x$info["n"] > 40), ...)
Summary information following a dynamic factor model estimation. coef() returns \(\textbf{A}\) and \(\textbf{C}\).
an object class 'dfm'.
integer. The number of digits to print out.
not used.
character. The factor estimates to use: one of "qml", "2s" or "pca".
integer. Display a more compact printout: 0 prints everything, 1 omits the observation matrix \(\textbf{C}\) and residual covariance matrix cov(resid(model)), and 2 omits all disaggregated information on the input data. Sensible default are chosen for different sizes of the input dataset so as to limit large printouts.
dfms-package
mod <- DFM(diff(BM14_Q), 2, 3)
print(mod)
summary(mod)
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