From 6c9e8b432face9a7ba232dec65562ea331d0fc7a Mon Sep 17 00:00:00 2001 From: seabbs <20317649+seabbs@users.noreply.github.com> Date: Mon, 2 Sep 2024 10:54:10 +0000 Subject: [PATCH] Automatic README update --- README.md | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 4ad0e6f..817e928 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,10 @@ contributors](https://img.shields.io/github/contributors/epinowcast/primarycenso This package provides both R functions for working with primary event censored distributions and Stan implementations for use in Bayesian modeling. Primary event censored distributions are useful for modeling -delayed reporting scenarios in epidemiology and other fields. +delayed reporting scenarios in epidemiology and other fields. It +provides support for arbitrary delay distributions, a range of common +primary distributions, and allows for truncation and secondary event +censoring to be accounted for. ## Installation @@ -91,7 +94,7 @@ but the brief version is: # `Suggests` dependencies install.packages( "cmdstanr", - repos = c("https://mc-stan.org/r-packages/", getOption("repos")) + repos = c("https://stan-dev.r-universe.dev", getOption("repos")) ) # once `cmdstanr` is installed: cmdstanr::install_cmdstan() @@ -154,7 +157,7 @@ Our [community forum](https://community.epinowcast.org/) has areas for and [considering new methods and tools](https://community.epinowcast.org/c/projects/11), among others. If you are generally interested in real-time analysis of infectious -disease, you may find this useful even if do not use +disease, you may find this useful even if you do not use `primarycensoreddist`. @@ -199,10 +202,10 @@ By contributing to this project, you agree to abide by its terms. ## Citation If making use of our methodology or the methodology on which ours is -based, please cite the relevant papers from our [model -outline](https://package.epinowcast.org/articles/model.html). If you use -`primarycensoreddist` in your work, please consider citing it with -`citation("primarycensoreddist")`. +based, please cite the relevant papers from our [methods +outline](https://primarycensoreddist.epinowcast.org/articles/methods.html). +If you use `primarycensoreddist` in your work, please consider citing it +with `citation("primarycensoreddist")`. ## Contributors