Nothing
context("test-dynardl-simulation")
test_that("Warnings are issued correctly", {
model.notdyn <- lm(concern ~ urate, data = ineq)
expect_error(dynardl.simulation.plot(model.notdyn), "provide a dynardl model object")
model.1 <- dynardl(concern ~ incshare10 + urate, data = ineq,
lags = list("incshare10" = 1, "urate" = 1), ec = FALSE,
simulate = FALSE)
expect_error(dynardl.simulation.plot(model.1), "does not include simulation") # no simulation
model.2 <- dynardl(concern ~ incshare10 + urate, data = ineq,
lags = list("incshare10" = 1, "urate" = 1, "concern" = 1), ec = FALSE,
simulate = TRUE, shockvar = "urate")
expect_error(dynardl.simulation.plot(model.2, response = "leveels"), "Response must be one of") # not valid response
expect_error(dynardl.simulation.plot(model.2, type = "spikee"), "type must be either an area plot") # not valid type
model.3 <- dynardl(concern ~ incshare10 + urate, data = ineq,
lags = list("incshare10" = 1, "urate" = 1), ec = FALSE,
simulate = TRUE, noLDV = TRUE, shockvar = "urate")
expect_warning(dynardl.simulation.plot(model.3), "from a model with no lagged dependent variable") # no simulation
expect_warning(dynardl.simulation.plot(model.2, last.period = 400), "requested exceeds simulation range") # too long of response
expect_warning(dynardl.simulation.plot(model.2, last.period = 400), "regardless of if Y might") # too long of response
model.4 <- dynardl(concern ~ incshare10 + urate, data = ineq,
lags = list("incshare10" = 1, "urate" = 1, "concern" = 1), ec = FALSE,
simulate = TRUE, fullsims = FALSE, shockvar = "urate")
expect_error(dynardl.simulation.plot(model.4, response = "cumulative.diffs"), "object must have fullsims") # no fullsims provided
expect_error(dynardl.simulation.plot(model.4, response = "cumulative.abs.diffs"), "object must have fullsims") # no fullsims provided
model.5 <- dynardl(concern ~ incshare10 + urate, data = ineq,
lags = list("incshare10" = 1, "urate" = 1, "concern" = 1), ec = FALSE,
simulate = TRUE, fullsims = TRUE, shockvar = "urate")
expect_warning(dynardl.simulation.plot(model.5, response = "cumulative.abs.diffs", last.period = 12), "last.period") # finish calc. on 12
expect_warning(dynardl.simulation.plot(model.5, response = "cumulative.abs.diffs"), "by tolerance") # finish whenever
})
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