CLME (version 2.0-12)

confint.clme: Individual confidence intervals

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

Value

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

Details

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

See Also

CLME-package clme

CLME-package clme

Examples

# NOT RUN {
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 )


# }