povmap (version 1.0.1)

ebp_normalityfit: Output Model fit and normality assumptions

Description

The function uses the results of the ebp function to produce output a table showing marginal R-square, conditional R-squared as well as the skewness and kurtosis of the random and idiosyncratic error terms

Usage

ebp_normalityfit(model)

Value

dataframe with marginal R-square, conditional R-squared as well as the skewness and kurtosis of the random and idiosyncratic error term

Arguments

model

an object returned by the ebp function of type "emdi ebp"

Examples

# \donttest{
data("eusilcA_pop")
data("eusilcA_smp")

ebp_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",
 L = 2, na.rm = TRUE
 )

 ebp_normalityfit(model = ebp_model)
# }