Update README.md

README.md

@@ -1,6 +1,8 @@
 # model-calibration-evaluation
 
- Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference 
+[![pages-build-deployment](https://github.com/JBris/model-calibration-evaluation/actions/workflows/pages/pages-build-deployment/badge.svg?branch=main)](https://github.com/JBris/model-calibration-evaluation/actions/workflows/pages/pages-build-deployment)
+
+Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference 
 
 See [config.yaml](config.yaml) for the ground-truth simulation parameters.
 
@@ -19,4 +21,4 @@ The following model calibration methods have been evaluated.
 * [Shuffled Complex Evolution Algorithm Uncertainty Analysis](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/sceua/run.py)
 * [Sequential Neural Posterior Estimation](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/snpe/run.py)
 * [Sobol Sensitivity Analysis](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/sobol_sa/run.py)
-* [Truncated Marginal Neural Ratio Estimation](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/tmnre/run.py)
+* [Truncated Marginal Neural Ratio Estimation](https://github.com/JBris/model-calibration-evaluation/tree/main/pipelines/tmnre/run.py)