intervals: Confidence Intervals on Coefficients of an emdi Object

In emdi: Estimating and Mapping Disaggregated Indicators

Confidence Intervals on Coefficients of an emdi Object

Description

Methods intervals.ebp and intervals.fh provide the approximate confidence intervals on the coefficients (fixed effects) of an emdi object.

Usage

## S3 method for class 'ebp'
intervals(object, level = 0.95, parm = NULL, ...)

## S3 method for class 'fh'
intervals(object, level = 0.95, parm = NULL, ...)

Arguments

object	an object of type "emdi", depending on the method either "ebp" or "fh".
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 NULL, all parameters are taken into account. Defaults to NULL.
...	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

direct, ebp, fh, intervals

Examples

# Example for class ebp
emdi_model <- ebp(
  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, pop_data = eusilcA_pop,
  pop_domains = "district", smp_data = eusilcA_smp, smp_domains = "district",
  na.rm = TRUE
)

intervals(emdi_model)

emdi documentation built on Nov. 5, 2023, 5:07 p.m.