diff --git a/NEWS.md b/NEWS.md index 1bc37e0..9386a0c 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,3 @@ # mcmcderive 0.0.1 -* Added a `NEWS.md` file to track changes to the package. +* Optimized `mcmc_derive()`. diff --git a/docs/news/index.html b/docs/news/index.html index db6aada..91f0101 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -111,7 +111,7 @@
NEWS.md
file to track changes to the package.mcmc_derive()
.Generates derived parameter(s) from Monte Carlo Markov Chain (MCMC) samples using R code. This allows Bayesian models to be fitted without the - inclusion of derived parameters which add unnecessary complexity and - slow model fitting.
+ inclusion of derived parameters which add unnecessary clutter and + slow model fitting. For more information on MCMC samples see + Brooks et al. (2011) <isbn:978-1-4200-7941-8>.