Nothing
library(seasonal)
checkX13()
# import test cases
cc <- read.csv(file.path(nocran_tests, "examples/ex_run.csv"))
rr <- as.character(cc$r)
# r <- rr[-c(87, 98)] # remove known issues
r <- rr[-c(87, 91, 96, 97, 98, 99, 100, 101, 102, 103)]
# --- known issues -------------------------------------------------------------
# # 87
# seas(AirPassengers, transform.function = "none", transform.power = 0.3333)
# # 98
# data(holiday)
# easter1 <- genhol(easter, start = -10, end = -1, frequency = 12)
# easter2 <- genhol(easter, start = 0, end = 5, frequency = 12)
# seas(AirPassengers,
# x11 = "",
# regression.aictest = NULL,
# xreg = cbind(easter1, easter2),
# x11regression.aictest = "td",
# x11regression.usertype = "holiday",
# outlier = NULL
# )
# --- new known issues ---------------------------------------------------------
# https://github.com/christophsax/seasonal/issues/272
# seas(
# AirPassengers,
# regression.aictest = NULL,
# x11.seasonalma = "s3x9",
# x11.trendma = 23,
# x11regression.variables = "td",
# x11regression.aictest = "td"
# )
# seas(
# AirPassengers,
# x11 = "",
# regression.aictest = NULL,
# x11regression.variables = "td"
# )
# seas(
# AirPassengers,
# x11 = "",
# regression.aictest = NULL,
# x11regression.variables = "td",
# x11regression.aictest = c("td", "easter")
# )
# seas(AirPassengers,
# x11 = "",
# regression.aictest = NULL,
# x11regression.variables = "td",
# x11regression.tdprior = c(1.4, 1.4, 1.4, 1.4, 1.4, 0.0, 0.0),
# transform.function = "log"
# )
# seas(AirPassengers,
# x11 = "",
# regression.aictest = NULL,
# x11regression.variables = c("td", "easter[8]"),
# x11regression.critical = 5,
# x11regression.b = c("0.4453f", "0.8550f", "-0.3012f", "0.2717f",
# "-0.1705f", "0.0983f", "-0.0082")
# )
# seas(AirPassengers,
# x11 = "",
# regression.aictest = NULL,
# x11regression.variables = c("td/1950.1/", "easter[8]",
# "labor[10]", "thank[10]"),
# x11.seasonalma = "x11default",
# x11.sigmalim = c(1.8, 2.9),
# x11.appendfcst = "yes"
# )
# seas(AirPassengers,
# x11 = "",
# transform.function = "log",
# regression.variables = "const",
# regression.aictest = NULL,
# arima.model = "(0 1 1)(0 1 1)",
# outlier = NULL,
# x11regression.variables = c("td", "easter[8]")
# )
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