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R interface to X-13ARIMA-SEATS

seasonal is an easy-to-use and full-featured R-interface to X-13ARIMA-SEATS, the newest seasonal adjustment software developed by the United States Census Bureau.

Installation

seasonal depends on the x13binary package to access pre-built binaries of X-13ARIMA-SEATS on all platforms and does not require any manual installation. To install both packages:

install.packages("seasonal")

Getting started

seas is the core function of the seasonal package. By default, seas calls the automatic procedures of X-13ARIMA-SEATS to perform a seasonal adjustment that works well in most circumstances:

m <- seas(AirPassengers)

For a more detailed introduction, check our article in the Journal of Statistical Software or consider the vignette:

vignette("seas")

Input

In seasonal, it is possible to use almost the complete syntax of X-13ARIMA-SEATS. The X-13ARIMA-SEATS syntax uses specs and arguments, with each spec optionally containing some arguments. These spec-argument combinations can be added to seas by separating the spec and the argument by a dot (.). For example, in order to set the 'variables' argument of the 'regression' spec equal to td and ao1999.jan, the input to seas looks like this:

m <- seas(AirPassengers, regression.variables = c("td", "ao1955.jan"))

The best way to learn about the relationship between the syntax of X-13ARIMA-SEATS and seasonal is to study the comprehensive list of examples. Detailed information on the options can be found in the Census Bureaus' official manual.

Output

seasonal has a flexible mechanism to read data from X-13ARIMA-SEATS. With the series function, it is possible to import almost all output that can be generated by X-13ARIMA-SEATS. For example, the following command returns the forecasts of the ARIMA model as a "ts" time series:

m <- seas(AirPassengers)
series(m, "forecast.forecasts")

Graphs

There are several graphical tools to analyze a seas model. The main plot function draws the seasonally adjusted and unadjusted series, as well as the outliers:

m <- seas(AirPassengers, regression.aictest = c("td", "easter"))
plot(m)

Graphical User Interface

The view function is a graphical tool for choosing a seasonal adjustment model, using the seasonalview package, with the same structure as the demo website of seasonal. To install seasonalview, type:

install.packages("seasonalview")

The goal of view is to summarize all relevant options, plots and statistics that should be usually considered. view uses a "seas" object as its main argument:

view(m)

License

seasonal is free and open source, licensed under GPL-3. It requires the X-13ARIMA-SEATS software by the U.S. Census Bureau, which is open source and freely available under the terms of its own license.

To cite seasonal in publications use:

Sax C, Eddelbuettel D (2018). “Seasonal Adjustment by X-13ARIMA-SEATS in R.” Journal of Statistical Software, 87(11), 1-17. doi: 10.18637/jss.v087.i11 (URL: https://doi.org/10.18637/jss.v087.i11).

Please report bugs and suggestions on GitHub. Thank you!

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Version

Install

install.packages('seasonal')

Monthly Downloads

7,520

Version

1.10.0

License

GPL-3

Maintainer

Christoph Sax

Last Published

October 19th, 2024

Functions in seasonal (1.10.0)

outlier

Outlier Time series
unemp

United States Unemployment Level
transformfunction

Applied Transformation
udg

Diagnostical Statistics
update.seas

Update and Re-evaluate a Seasonal Adjustment Model
view

Interactively Modify a Seasonal Adjustment Model
spc

.spc File Content
series

Import X-13ARIMA-SEATS Output Tables
static

Static Call of a seas Object
summary.seas

Summary of a X13-ARIMA-SEATS seasonal adjustment
final

Time Series of a Seasonal Adjustment Model
SPECS

List of Available X-13ARIMA-SEATS Outputs
checkX13

Check Installation of X-13ARIMA-SEATS
genhol

Generate Holiday Regression Variables
identify.seas

Manually Identify Outliers
as.data.frame.seas

Coerce Output to data.frame
fivebestmdl

Five Best ARIMA Models
plot.seas

Seasonal Adjustment Plots
na.x13

Handle Missing Values by X-13
predict.seas

Seasonal Adjusted Series
import.ts

Import Time Series from X-13 Data Files
out

Display X-13ARIMA-SEATS Output
import.spc

Import X-13 .spc Files
seas

Seasonal Adjustment with X-13ARIMA-SEATS
seasonal-package

seasonal: R interface to X-13ARIMA-SEATS
cpi

Consumer Price Index of Switzerland
iip

Industrial Production of India
easter

Dates of Chinese New Year, Indian Diwali and Easter
exp

Exports and Imports of China