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README.md

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-# survHE [![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/survHE)](https://cran.r-project.org/package=survHE)[![CRAN_Download_Badge](http://cranlogs.r-pkg.org/badges/survHE)](https://cran.r-project.org/package=survHE)[![CRAN_Download_Badge](https://cranlogs.r-pkg.org:443/badges/grand-total/survHE?color=orange)](https://cranlogs.r-pkg.org:443/badges/grand-total/survHE?color=orange)
+# survHE 
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+[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/survHE)](https://cran.r-project.org/package=survHE)
+[![CRAN_Download_Badge](https://cranlogs.r-pkg.org/badges/survHE)](https://cran.r-project.org/package=survHE)
+[![CRAN_Download_Badge](https://cranlogs.r-pkg.org:443/badges/grand-total/survHE?color=orange)](https://cranlogs.r-pkg.org:443/badges/grand-total/survHE?color=orange)
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 ## Survival analysis in health economic evaluation
 
 Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package [flexsurv](https://CRAN.R-project.org/package=flexsurv)) and a Bayesian perspective. For a selected range of models, both Integrated Nested Laplace Integration (via the R package [INLA](http://www.r-inla.org/)) and Hamiltonian Monte Carlo (via the R package [rstan](https://CRAN.R-project.org/package=rstan)) are possible. HMC models are pre-compiled so that they can run in a very efficient and fast way. In addition to model fitting, survHE provides a set of specialised functions, for example to perform Probabilistic Sensitivity Analysis, export the results of the modelling to a spreadsheet, plotting survival curves and uncertainty around the mean estimates.