An estimation language
https://www.squiggle-language.com/
Nuno Sempere
2f45f92552
- A getMean and getVariance in each module of src/distPlus/distribution/Distributions.re
- They get the exact answer for the functions in Distributions.re, according to the approximation used.
- There is now an XYShape.Analysis.integrateContinuousShape function.
- Tests in the __tests__/Distributions__Test.re function.
- Calculation of the mean and variance for the normal and lognnormal distributions, at the end.
- I also added some reduce array functions to the E.A. module.
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| showcase | ||
| src | ||
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| LICENSE | ||
| netlify.toml | ||
| package.json | ||
| postcss.config.js | ||
| README.md | ||
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WideDomain
This is an experimental library & application for writing estimation functions in ReasonML.
Users would write models with declared interfaces (inputs & outputs). These models can output probability distributions or variables.
DistPlus
We have a custom library called DistPlus to handle distributions with additional metadata. This helps handle mixed distributions (continuous + discrete), a cache for a cdf, possible unit types (specific times are supported), and limited domains.
Running
Currently it only has a few very simple models.
yarn
yarn run start
yarn run parcel
Current Setup
You can see a current version of this running online here: https://www.highlyspeculativeestimates.com/m/ea-funds