# seasonal v1.7.1

Monthly downloads

## R Interface to X-13-ARIMA-SEATS

Easy-to-use interface to X-13-ARIMA-SEATS, the seasonal adjustment
software by the US Census Bureau. It offers full access to almost all
options and outputs of X-13, including X-11 and SEATS, automatic ARIMA model
search, outlier detection and support for user defined holiday variables,
such as Chinese New Year or Indian Diwali. A graphical user interface can be
used through the 'seasonalview' package. Uses the X-13-binaries from the
'x13binary' package.

## Readme

## 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: http://doi.org/10.18637/jss.v087.i11).

Please report bugs and suggestions on Github. Thank you!

## Functions in seasonal

Name | Description | |

identify.seas | Manually Identify Outliers | |

predict.seas | Seasonal Adjusted Series | |

view | Interactively Modify a Seasonal Adjustment Model | |

update.seas | Update and Re-evaluate a Seasonal Adjustment Model | |

plot.seas | Seasonal Adjustment Plots | |

na.x13 | Handle Missing Values by X-13 | |

static | Static Call of a seas Object | |

import.ts | Import Time Series from X-13 Data Files | |

out | Display X-13ARIMA-SEATS Output | |

seas | Seasonal Adjustment with X-13ARIMA-SEATS | |

spc | .spc File Content | |

arimamodel | Defunct Functions | |

seasonal-package | seasonal: R interface to X-13ARIMA-SEATS | |

import.spc | Import X-13 .spc Files | |

series | Import X-13ARIMA-SEATS Output Tables | |

outlier | Outlier Time series | |

iip | Industrial Production of India | |

udg | Diagnostical Statistics | |

summary.seas | Summary of a X13-ARIMA-SEATS seasonal adjustment | |

transformfunction | Applied Transformation | |

unemp | United States Unemployment Level | |

easter | Dates of Chinese New Year, Indian Diwali and Easter | |

checkX13 | Check Installation of X-13ARIMA-SEATS | |

genhol | Generate Holiday Regression Variables | |

as.data.frame.seas | Coerce Output to data.frame | |

SPECS | List of Available X-13ARIMA-SEATS Outputs | |

final | Time Series of a Seasonal Adjustment Model | |

exp | Exports and Imports of China | |

cpi | Consumer Price Index of Switzerland | |

fivebestmdl | Five Best ARIMA Models | |

No Results! |

## Vignettes of seasonal

Name | ||

Figures/monthplot.pdf | ||

Figures/plot.pdf | ||

Figures/seasonal.jpg | ||

Figures/website.jpg | ||

jss3006.bib | ||

seas.Rnw | ||

No Results! |

## Last month downloads

## Details

Type | Package |

Date | 2020-06-06 |

License | GPL-3 |

URL | http://www.seasonal.website |

BugReports | https://github.com/christophsax/seasonal |

LazyData | true |

RoxygenNote | 7.1.0 |

Encoding | UTF-8 |

NeedsCompilation | no |

Packaged | 2020-06-06 09:30:43 UTC; christoph |

Repository | CRAN |

Date/Publication | 2020-06-06 10:10:02 UTC |

depends | R (>= 2.15) |

suggests | seasonalview (>= 0.1.3) |

imports | x13binary |

Contributors | Dirk Eddelbuettel |

#### Include our badge in your README

```
[![Rdoc](http://www.rdocumentation.org/badges/version/seasonal)](http://www.rdocumentation.org/packages/seasonal)
```