---
title: "Sructural Time Series using JDemetra+"
author: "Jean Palate"
date: "`r Sys.Date()`"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Sructural Time Series using JDemetra+}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r setup, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```

# Introduction

```{r echo=FALSE}
suppressPackageStartupMessages(library(rjd3toolkit))
suppressPackageStartupMessages(library(rjd3sts))
library(knitr)
```



# Data

We illustrate the various methods using two sets of time series:

* The **retail** data set contains monthly figures over US retail activity of various categories of goods and services from 1992 to 2010.
* The **ABS** data set contains long monthly series over Australian retail trade.


# Examples

## [Basic structural models](bsm.html)

## [Time varying trading days](tdvar.html)

## [Regular period cubic splines](regsplines.html)



