<commit_before>Java Time Series
===============
Time series analysis in Java.

Using
------
#### Maven

```groovy
<dependency>
    <groupId>com.github.jrachiele</groupId>
    <artifactId>java-timeseries</artifactId>
    <version>[0.1,)</version>
</dependency>
```

#### Gradle
```groovy
compile 'com.github.jrachiele:java-timeseries:[0.1,)'
```

Features
-------
* Seasonal ARIMA models and forecasting.
* Dedicated time series library.
* Simple, intuitive, and powerful time modeling.
* Autocorrelation function and ACF plot.
* Random walk simulation and forecasting.
* Box-Cox data transformations.

Credits
------
| Library | Category | License |
| ------- | -------- | ------- |
| [XChart](https://github.com/timmolter/XChart) | Graphing | [Apache 2.0](http://www.apache.org/licenses/LICENSE-2.0) |
| [Smile](https://github.com/haifengl/smile) | Distributions | [Apache 2.0](http://www.apache.org/licenses/LICENSE-2.0) |<commit_msg>Update feature list in README<commit_after>Java Time Series
===============
Time series analysis in Java.

Features
-------
* Seasonal ARIMA models.
* ARIMA forecasting and simulation.
* Time series statistics, moving averages, and aggregation.
* Simple, intuitive, and powerful time modeling.
* Autocorrelation function and ACF plot.

Using
------
#### Maven

```groovy
<dependency>
    <groupId>com.github.jrachiele</groupId>
    <artifactId>java-timeseries</artifactId>
    <version>[0.1,)</version>
</dependency>
```

#### Gradle
```groovy
compile 'com.github.jrachiele:java-timeseries:[0.1,)'
```

Credits
------
| Library | Category | License |
| ------- | -------- | ------- |
| [XChart](https://github.com/timmolter/XChart) | Graphing | [Apache 2.0](http://www.apache.org/licenses/LICENSE-2.0) |
| [Smile](https://github.com/haifengl/smile) | Distributions | [Apache 2.0](http://www.apache.org/licenses/LICENSE-2.0) |
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