predict.NER: Predictions from saeTrafo objects

In saeTrafo: Transformations for Unit-Level Small Area Models

Predictions from saeTrafo objects

Description

Method predict.NER extracts the direct estimates, the empirical best linear unbiased or empirical best predictors for all domains from an saeTrafo object.

Usage

## S3 method for class 'NER'
predict(object, ...)

Arguments

object	an object of type "saeTrafo".
...	additional arguments that are not used in this method.

Value

Data frame with domain predictors.

See Also

saeTrafoObject, NER_Trafo

Examples

# Examples for Predictions from saeTrafo objects

# 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)

predict(NER_model)

saeTrafo documentation built on June 22, 2024, 9:28 a.m.