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Update README.md (fixed missing links)
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idinov authored Aug 6, 2024
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![Modeler Image](images/modeler.png)

## Overview
The [SOCR RShiny probability distribution calculators](LINK_NEEDED) provide interactive vizualizations of probability densities, mass functions, and cumulative distributions, e.g., [bivariate normal distribution](https://socr.umich.edu/HTML5/BivariateNormal/).
The [SOCR RShiny probability distribution calculators](https://rcompute.nursing.umich.edu/SOCR_Probability_Distribution_Calculator_and_Modeler/) provide interactive vizualizations of probability densities, mass functions, and cumulative distributions, e.g., [bivariate normal distribution](https://socr.umich.edu/HTML5/BivariateNormal/).


The most current version is V0.9, deployed at [here](LINK_NEEDED). The release can be find [here](https://github.com/SOCR/ProbDistCalc_RShiny/releases/tag/Ver0.9).
The most current version is V0.9, deployed at [here](https://rcompute.nursing.umich.edu/SOCR_Probability_Distribution_Calculator_and_Modeler/). The release can be find [here](https://github.com/SOCR/ProbDistCalc_RShiny/releases/tag/Ver0.9).

## Team

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- [ ] There should be histogram indicating the original dataset along with the distribution curve plot. Part of the code is already in the branch `sub`, but it only works for the normal distribution. Need to generalize it.
- [ ] To generalize the histogram, we may need to extract the similar code in plotlyFunctions into a separate function. Otherwise we have to repeat the code for histogram 70+ times for each distribution. Currently the code is mostly duplicated but slightly different in these functions, which makes it very hard to extract the common code.
- [ ] Deploy to SOCR server. Update the `LINK_NEEDED` in this README.
- [ ] Support more existing distributions in modeler. Currently only very few distributions are supported in modeler. To do this, follow the guidelines in the section above.
- [ ] Support more existing distributions in modeler. Currently only very few distributions are supported in modeler. To do this, follow the guidelines in the section above.

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