https://github.com/ggb/elm-trend

Regression and time series forecasting
https://github.com/ggb/elm-trend

elm forecast trends

Last synced: 8 days ago
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Regression and time series forecasting

• Host: GitHub
• URL: https://github.com/ggb/elm-trend
• Owner: ggb
• License: bsd-3-clause
• Created: 2016-07-26T17:46:14.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2021-04-21T06:45:56.000Z (over 5 years ago)
• Last Synced: 2024-05-09T13:38:35.890Z (about 2 years ago)
• Topics: elm, forecast, trends
• Language: Elm
• Size: 26.4 KB
• Stars: 7
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# elm-trend

Calculate trend lines and forecast based on seasonal data.

![The github-page shows a nice example chart.](https://github.com/ggb/elm-trend/blob/master/trends.png "Green: Actual Data; Blue: Trend Line; Red: Seasonal Forecast")

The chart was created with [wuct/elm-charts](http://package.elm-lang.org/packages/wuct/elm-charts/latest). 

## Installation

```bash

elm package install ggb/elm-trend

```

## Usage

Usage is straightforward: 

```elm

import Linear

import Seasonal

data = 

  [ 362, 385, 432, 341, 382, 409, ... ]

-- Create linear trend function

linearTrend = Linear.regression data

-- Seasonal forecast

period = 4

forecastData = Seasonal.forecast period

```

Take a look at example/SeasonalTest.elm for a more detailed example.

## Future

Ideas for future development:

* Implementing [ARIMA](https://en.wikipedia.org/wiki/Autoregressive_integrated_moving_average)

* Multivariant regression and other regression types