Nothing
# Testing if agg_ddd in generating output
test_that("Testing generation of output in aggregation function", {
data <- gen_dgp_mult_periods(size = 10000, dgp_type = 1)[["data"]]
# Performing simple tests
out <- ddd(yname = "y", tname = "time", idname = "id",
gname = "state", pname = "partition", xformla = ~cov1 + cov2 + cov3 + cov4,
data = data, control_group = "nevertreated", base_period = "varying",
est_method = "dr")
# Simple aggregation
simple.agg <- agg_ddd(out, type = "simple", alpha = 0.10)
# Event study aggregation
es.agg <- agg_ddd(out, type = "eventstudy", alpha = 0.10)
# Group aggregation
group.agg <- agg_ddd(out, type = "group", alpha = 0.10)
# Calendar aggregation
calendar.agg <- agg_ddd(out, type = "calendar", alpha = 0.10)
# Performing tests with bootstrap + clustered standard errors
ddd_gt_boot_cluster <- ddd(yname = "y", tname = "time", idname = "id",
gname = "state", pname = "partition", xformla = ~cov1 + cov2 + cov3 + cov4,
data = data, control_group = "nevertreated", base_period = "varying",
est_method = "dr", boot = TRUE, nboot = 999, cluster = "cluster", cband = TRUE)
# Simple aggregation boot
simple.agg.bott <- agg_ddd(ddd_gt_boot_cluster, type = "simple", alpha = 0.10)
# Event study aggregation boot
es.agg.boot <- agg_ddd(ddd_gt_boot_cluster, type = "eventstudy", alpha = 0.10)
# Group aggregation boot
group.agg.boot <- agg_ddd(ddd_gt_boot_cluster, type = "group", alpha = 0.10)
# Calendar aggregation boot
calendar.agg.boot <- agg_ddd(ddd_gt_boot_cluster, type = "calendar", alpha = 0.10)
# expecting results
expect_output(summary(simple.agg))
expect_output(summary(es.agg))
expect_output(summary(group.agg))
expect_output(summary(calendar.agg))
expect_output(summary(simple.agg.bott))
expect_output(summary(es.agg.boot))
expect_output(summary(group.agg.boot))
expect_output(summary(calendar.agg.boot))
})
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