confint: Computes confidence intervals from smn.lmm and smsn.lmm...

In fernandalschumacher/lmmsmsn: Scale Mixture of Skew-Normal Linear Mixed Models

Computes confidence intervals from smn.lmm and smsn.lmm fitted models

Description

Computes either asymptotical (based on normality from maximum likelihood estimators) or parametric bootstraped confidence intervals from a model fit.

Usage

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

Arguments

object	An object inheriting from class SMN or SMSN
parm	A character indicating for which parameter the intervals should be returned. Available options: "beta" for fixed effects, or "all" for all parameters. Default is "all".
level	Confidence level to be used.
method	A character indicating with method should be used. "asymptotic" refers to traditional confidence intervals based on asymptotical normality from maximum likelihood estimators; "bootstrap" performs a parametric bootstrap method based on B samples (100 by default), and is only recommended to small to moderate sample sizes.
...	Additional arguments to be passed to boot_par.

Value

A table containing the estimate and the respective confidence interval.

See Also

smn.lmm, smsn.lmm, boot_par, boot_ci

Examples

fm1 = smn.lmm(distance ~ age+Sex, data=nlme::Orthodont, groupVar="Subject")
confint(fm1)

fernandalschumacher/lmmsmsn documentation built on Jan. 21, 2025, 1:24 a.m.