skewlmm (version 1.1.3)

summary.SMSN: Summary of a smsn.lmm object

Description

summary method for class "SMSN".

Usage

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

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.

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.

Author

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)