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GxM (version 1.1)

summaryGxM: GxM Outcome Summaries

Description

This function is used to summarize the fitted models from applying function GxM.

Usage

summaryGxM(GxMmle, inverseHessian="overall", eps=1e-10, r=0.999)

Arguments

GxMmle
a model fitting outcome from running GxM.
inverseHessian
a character string specifying the way of inverting the Hessian matrix. It takes values in “overall” and “block”. The choice depends on whether the intercepts $\mu_M$ and $\mu_P$ should be treated disjointedly from other parameters. inverseHessian=“overall” inverts the whole Hessian matrix directly. inverseHessian=“block” chooses to invert two diagonal blocks of the Hessian matrix (a block corresponding to intercept parameters, and a block corresponding to non-intercept parameters), and combines the invidual inverse.
eps
a boundary tolerance to see whether non-negative parameters reach zeros.
r
a boundary tolerance to see whether correlation coefficient parameters reach ones or negative ones.

Value

loglikelihood
maximum log-likelihood value from fitting indicated model to the input data set.
BIC
Bayesian information criterion (BIC) value from the model fitting.
par
parameter estimates.
stderr
standard errors of parameter estimates.

See Also

GxM