summaryGxM: GxM Outcome Summaries

In GxM: Maximum Likelihood Estimation for Gene-by-Measured Environment Interaction Models

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 μ_M and μ_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

GxM documentation built on May 2, 2019, 3:38 p.m.