confint.galamm {galamm} | R Documentation |
Confidence intervals for model parameters
Description
Confidence intervals for model parameters
Usage
## S3 method for class 'galamm'
confint(object, parm, level = 0.95, method = "Wald", ...)
Arguments
object |
An object of class |
parm |
Parameters for which to compute intervals. Use |
level |
Decimal number specifying the confidence level. Defaults to 0.95. |
method |
Character of length one specifying the type of confidence interval. Currently only "Wald" is available. The argument is case sensitive. |
... |
Other arguments passed on to other methods. Currently not used. |
Value
A matrix with the requested confidence intervals.
See Also
fixef.galamm()
for fixed effects, coef.galamm()
for coefficients
more generally, and vcov.galamm()
for the variance-covariance matrix.
confint()
is the generic function.
Other details of model fit:
VarCorr()
,
coef.galamm()
,
deviance.galamm()
,
factor_loadings.galamm()
,
family.galamm()
,
fitted.galamm()
,
fixef()
,
formula.galamm()
,
llikAIC()
,
logLik.galamm()
,
nobs.galamm()
,
predict.galamm()
,
print.VarCorr.galamm()
,
ranef.galamm()
,
residuals.galamm()
,
sigma.galamm()
,
vcov.galamm()
Examples
# Poisson GLMM
count_mod <- galamm(
formula = y ~ lbas * treat + lage + v4 + (1 | subj),
data = epilep, family = poisson
)
confint(count_mod, parm = "beta", level = .99)