| intervals {saeTrafo} | R Documentation | 
Confidence intervals on coefficients of an saeTrafo object
Description
Method intervals.NER provides the approximate confidence intervals on
the coefficients (fixed effects) of an saeTrafo object.
Usage
## S3 method for class 'NER'
intervals(object, level = 0.95, parm = NULL, ...)
Arguments
object | 
 an object of type "NER".  | 
level | 
 an optional numeric value with the confidence level for the intervals. Defaults to 0.95.  | 
parm | 
 vector of names to specify which parameters are to be given
confidence intervals. If   | 
... | 
 additional arguments that are not used in this method.  | 
Details
The generic function intervals is imported from package
nlme and re-exported to make the S3-methods available, even though the
nlme package itself is not loaded or attached. For default
documentation, see intervals.
Value
A matrix with rows corresponding to the parameters and columns containing the lower confidence limits (lower), the estimated values (est.), and upper confidence limits (upper).
See Also
Examples
# Example to extract confidence intervals on coefficients
# Load Data
data("eusilcA_smp")
data("pop_area_size")
data("pop_mean")
data("pop_cov")
# Nested error regression model
NER_model <- NER_Trafo(fixed = eqIncome ~ gender + eqsize + cash +
                       self_empl + unempl_ben + age_ben + surv_ben +
                       sick_ben + dis_ben + rent + fam_allow + house_allow +
                       cap_inv + tax_adj,
                       smp_domains = "district",
                       pop_area_size = pop_area_size,
                       pop_mean = pop_mean, pop_cov = pop_cov,
                       smp_data = eusilcA_smp)
intervals(NER_model)