Kfre

**Patch Release**
- Package version fix in `min_readme.md` citation section
- Python version fix in `min_readme.md`
- Python version fix from `3.74` to `3.7.4`
- new functions for classifying outcomes and ckd stages
- `class_esrd_outcome`,
`class_ckd_stages`,
- new functions for performance assessment:
- `plot_kfre_metrics`
- `eval_kfre_metrics`
- roc_auc curves
- precision-recall curves
- performance metrics:
- Precision/PPV
- Average Precision
- Sensitivity
- Specificity
- AUC ROC
- Brier Score

**Patch Release**
- Python version fix in `min_readme.md`
- Python version fix from `3.74` to `3.7.4`
- new functions for classifying outcomes and ckd stages
- `class_esrd_outcome`,
`class_ckd_stages`,
- new functions for performance assessment:
- `plot_kfre_metrics`
- `eval_kfre_metrics`
- roc_auc curves
- precision-recall curves
- performance metrics:
- Precision/PPV
- Average Precision
- Sensitivity
- Specificity
- AUC ROC
- Brier Score

**Patch Release**

- Python version fix from `3.74` to `3.7.4`
- new functions for classifying outcomes and ckd stages
- `class_esrd_outcome`,
`class_ckd_stages`,
- new functions for performance assessment:
- `plot_kfre_metrics`
- `eval_kfre_metrics`
- roc_auc curves
- precision-recall curves
- performance metrics:
- Precision/PPV
- Average Precision
- Sensitivity
- Specificity
- AUC ROC
- Brier Score

- new functions for classifying outcomes and ckd stages
- `class_esrd_outcome`,
`class_ckd_stages`,
- new functions for performance assessment:
- `plot_kfre_metrics`
- `eval_kfre_metrics`
- roc_auc curves
- precision-recall curves
- performance metrics:
- Precision/PPV
- Average Precision
- Sensitivity
- Specificity
- AUC ROC
- Brier Score

- Updated docs toc format and published on [new site](https://lshpaner.github.io/kfre)

- new functions for classifying outcomes and ckd stages
- `calc_esrd_outcome`,
`class_ckd_stages`,
- new functions for performance assessment:
- `plot_kfre_metrics` $\rightarrow$ added `decimal_places` input param
- `eval_kfre_metrics` $\rightarrow$ added `decimal_places` input param
- roc_auc curves
- precision-recall curves
- performance metrics:
- Precision/PPV
- Average PRecision
- Sensitivity
- Specificity
- AUC ROC
- Brier Score
- removed function to generate random ckd data:
- `CKDDataGenerator()` $\rightarrow$ needs more testing/better clinical understanding