summary.SMSN: Summary of a smsn.lmm object

In skewlmm: Scale Mixture of Skew-Normal Linear Mixed Models

Summary of a smsn.lmm object

Description

summary method for class "SMSN".

Usage

## S3 method for class 'SMSN'
summary(object, confint.level = 0.95, ...)

Arguments

object	An object inheriting from class SMSN, representing a fitted scale mixture skew-normal linear mixed model.
confint.level	Level of the approximate confidence intervals presented.
...	Additional arguments.

Value

varRandom	Estimated variance matrix from random effects (D).
varFixed	Parameter estimates of variance from random errors (\Sigma). For recovering the error variance matrix use errorVar function.
tableFixed	Estimated fixed effects, their standard errors and approximated confidence intervals.
criteria	Maximum log-likelihood value, AIC and BIC criteria.

Author(s)

Fernanda L. Schumacher, Larissa A. Matos and Victor H. Lachos

See Also

boot_par, smsn.lmm, errorVar, plot.SMSN, residuals.SMSN

Examples

fm1 = smsn.lmm(distance ~ age+Sex, data=nlme::Orthodont, groupVar="Subject",
               control=lmmControl(tol=.0001))
summary(fm1)

skewlmm documentation built on July 9, 2023, 7:29 p.m.