confint: Individual confidence intervals

In CLME: Constrained Inference for Linear Mixed Effects Models

Description

Calculates confidence intervals for fixed effects parameter estimates in objects of class clme.

Calculates confidence intervals for fixed effects parameter estimates in objects of class clme.

Usage

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

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

Arguments

object	object of class clme.
parm	parameter for which confidence intervals are computed (not used).
level	nominal confidence level.
...	space for additional arguments.

Details

Confidence intervals are computed using Standard Normal critical values. Standard errors are taken from the covariance matrix of the unconstrained parameter estimates.

Value

Returns a matrix with two columns named lcl and ucl (lower and upper confidence limit).

See Also

CLME-package clme

CLME-package clme

Examples

data( rat.blood )
cons <- list(order = "simple", decreasing = FALSE, node = 1 )
clme.out <- clme(mcv ~ time + temp + sex + (1|id), data = rat.blood , 
                 constraints = cons, seed = 42, nsim = 0)

confint( clme.out )

CLME documentation built on July 8, 2020, 5:49 p.m.