params.json

{
  "name": "Drip",
  "tagline": "DRIP",
  "body": "\r\n<p align=\"center\"><img src=\"https://github.com/lakshmiDRIP/DRIP/blob/master/DRIP_Logo.gif?raw=true\" width=\"100\"></p>\r\n\r\n**v2.53**  *12 November 2016*\r\n\r\nDRIP aims to collect the models and provides libraries for fixed income valuation and adjustments, asset allocation and transaction cost analytics, and supporting libraries in numerical optimization and statistical learning.\r\n\r\nDRIP is composed of four main libraries:\r\n * [DRIP Fixed Income] (https://lakshmidrip.github.io/DRIP-Fixed-Income)\r\n * [DRIP Asset Allocation] (https://lakshmidrip.github.io/DRIP-Asset-Allocation)\r\n * [DRIP Numerical Optimizer] (https://lakshmidrip.github.io/DRIP-Numerical-Optimizer)\r\n * [DRIP Statistical Learning] (https://lakshmidrip.github.io/DRIP-Statistical-Learning)\r\n\r\n\r\n##Installation\r\n\r\n Installation is as simple as building a jar and dropping into the classpath. There are no other dependencies.\r\n\r\n\r\n##DRIP Core Technical Specifications\r\n * [Asset Allocation Library](https://github.com/lakshmiDRIP/DRIP/tree/master/Docs/DRIPSpecification/AssetAllocation/AssetAllocation_v2.13.pdf)\r\n * [Fixed Income Analytics](https://github.com/lakshmiDRIP/DRIP/tree/master/Docs/DRIPSpecification/FixedIncome/FixedIncomeAnalytics_v2.47.pdf)\r\n * [Transaction Cost Analytics](https://github.com/lakshmiDRIP/DRIP/tree/master/Docs/DRIPSpecification/TransactionCost/TransactionCostAnalytics_v2.53.pdf)\r\n\r\n\r\n##DRIP Supporting Technical Specifications\r\n * [Spline Builder Library](https://github.com/lakshmiDRIP/DRIP/tree/master/Docs/DRIPSpecification/SplineBuilder/SplineBuilder_v0.82.pdf)\r\n * [Numerical Optimization Library](https://github.com/lakshmiDRIP/DRIP/tree/master/Docs/DRIPSpecification/NumericalOptimizer/NumericalOptimization_v2.05.pdf)\r\n * [Statistical Learning Library](https://github.com/lakshmiDRIP/DRIP/tree/master/Docs/DRIPSpecification/StatisticalLearning/StatisticalLearningLibrary_v0.80.pdf)\r\n * [Machine Learning Library](https://github.com/lakshmiDRIP/DRIP/tree/master/Docs/DRIPSpecification/MachineLearning/MachineLearningLibrary_v0.92.pdf)\r\n\r\n\r\n##Samples\r\n\r\n * The Java sample suite is also available as part of the development load.\r\n * The Excel samples are present on their own folder.\r\n * Test data is present in the Daemons folder.\r\n\r\n\r\n##Additional Documentation\r\n * [DRIP GitHub Source](https://github.com/lakshmiDRIP/DRIP)\r\n * [DRIP API Javadoc](Javadoc/index.html)\r\n * [DRIP Release Notes](https://github.com/lakshmiDRIP/DRIP/tree/master/ReleaseNotes)\r\n * [DRIP Technical Specifications](https://github.com/lakshmiDRIP/DRIP/tree/master/Docs/DRIPSpecification)\r\n * [DRIP External Specifications](https://github.com/lakshmiDRIP/DRIP/tree/master/Docs/External)\r\n * User guide is a work in progress!\r\n\r\n\r\n##Licence\r\n\r\nApache 2.0\r\n\r\n\r\n##Contact\r\n\r\nlakshmi@synergicdesign.com\r\n",
  "note": "Don't delete this file! It's used internally to help with page regeneration."
}