context("Rmir output")
skip_on_cran()
library(laeken)
library(survey)
library(vardpoor)
data(eusilc)
names(eusilc) <- tolower(names(eusilc))
dati = data.frame(IDd = seq(10000 , 10000 + nrow(eusilc) - 1) , eusilc)
SE_lin2 <- function(t, des) {
variance <-
survey::svyrecvar(t / des$prob,
des$cluster,
des$strata,
des$fpc,
postStrata = des$postStrata)
sqrt(variance)
}
des_eusilc <-
svydesign(
ids = ~ rb030,
strata = ~ db040,
weights = ~ rb050,
data = eusilc
)
des_eusilc <- convey_prep(des_eusilc)
des_eusilc_rep <- as.svrepdesign(des_eusilc, type = "bootstrap")
des_eusilc_rep <- convey_prep(des_eusilc_rep)
vardpoor_rmirw <-
linrmir(
Y = "eqincome",
id = "IDd",
age = "age",
weight = "rb050",
dataset = dati
)
vardest <- vardpoor_rmirw$value
attributes(vardest) <- NULL
vardest <- unlist(vardest)
varse <- SE_lin2 (vardpoor_rmirw$lin$lin_rmir, des_eusilc)
attributes(varse) <- NULL
fun_rmirw <-
svyrmir(~ eqincome ,
design = des_eusilc ,
age = ~ age ,
agelim = 65)
fun_rmirw_rep <-
svyrmir(~ eqincome ,
design = des_eusilc_rep ,
age = ~ age ,
agelim = 65)
convest <- coef(fun_rmirw)
attributes(convest) <- NULL
convse <- SE(fun_rmirw)
attributes(convse) <- NULL
#domain
vardpoor_rmird <-
linrmir(
Y = "eqincome",
id = "IDd",
age = "age",
weight = "rb050",
Dom = "hsize",
dataset = dati,
order_quant = 50L
)
# point estimates
vardestd <- unlist(vardpoor_rmird$value$rmir)
# se estimates
varsed <-
sapply(data.frame(vardpoor_rmird$lin)[, 2:10], function(t)
SE_lin2(t, des_eusilc))
attributes (varsed) <- NULL
# library convey
fun_rmird <-
svyby(
~ eqincome,
by = ~ hsize,
design = des_eusilc,
FUN = svyrmir,
age = ~ age ,
agelim = 65 ,
deff = FALSE
)
convestd <- coef(fun_rmird)
attributes(convestd) <- NULL
convsed <- SE(fun_rmird)
test_that("compare results convey vs vardpoor", {
expect_equal(vardest, convest)
expect_equal(vardestd, convestd)
expect_lte(confint(fun_rmirw)[1], coef(fun_rmirw))
expect_gte(confint(fun_rmirw)[2], coef(fun_rmirw))
expect_equal(coef(fun_rmirw), coef(fun_rmirw_rep))
})
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