Update README.md

README.md

@@ -23,7 +23,7 @@ There are eleven main resources for learning about VAST:
 *  *High-level wrapper functions*:  I have recently added high-level wrapper functions, which provide a [gentle introduction](https://github.com/James-Thorson/VAST/wiki/Simple-example) to running `VAST`
 *  *Examples*:  The wiki also includes example code to run VAST for many common [use-cases](https://github.com/James-Thorson-NOAA/VAST/wiki), as listed in the right-hand-side toolbar at that link.
 *  *R-help documentation*:  Please see the standard R-help documentation, e.g., by typing `?fit_model` or `?make_data` in the R-terminal after installing the package and loading it using `library(VAST)`.
-*  *Publications*:  Please see the [publications list](https://github.com/nwfsc-assess/geostatistical_delta-GLMM/wiki/Applications) to identify peer-reviewed publications regarding individual features.  These publications include statistical theory and model testing.
+*  *Publications*:  Please see the [publications list](https://github.com/James-Thorson-NOAA/VAST/wiki/Applications) to identify peer-reviewed publications regarding individual features.  These publications include statistical theory and model testing.
 *  *List-serv*: Consider joining the [FishStats listserve](https://groups.google.com/forum/#!forum/fishstats-listserv) for 4-6 updates per year, including training classes.
 *  *Slack channel*:  A [slack channel](https://join.slack.com/t/vastsupportgroup/shared_invite/zt-18zyad1zl-dLQKYE3kOPI~n~h7PM6coA) was developed by J. Morano and colleagues to allow real-time, casual discussions among new and longtime users.
 *  *Talks available online*:  We post recorded talks and seminars [online](https://www.youtube.com/channel/UCNgFcss1X9Hgox3eWSTRI3Q/)