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author | Ken Kellner <ken@kenkellner.com> | 2021-06-23 15:13:49 -0400 |
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committer | Ken Kellner <ken@kenkellner.com> | 2021-06-23 15:13:49 -0400 |
commit | 9ecc1c09a934b0acfccf1a222bd8dbc94ed025c8 (patch) | |
tree | 2740e6df890c6b651c98ba9a8004e11d60703236 /src/ubms-spatial.Rmd | |
parent | 42e7533e5cf2b816f99e29f634a6537646fdd1cc (diff) |
Update link to ubms dev version
Diffstat (limited to 'src/ubms-spatial.Rmd')
-rw-r--r-- | src/ubms-spatial.Rmd | 6 |
1 files changed, 5 insertions, 1 deletions
diff --git a/src/ubms-spatial.Rmd b/src/ubms-spatial.Rmd index 0d2d611..9aef6ab 100644 --- a/src/ubms-spatial.Rmd +++ b/src/ubms-spatial.Rmd @@ -30,7 +30,11 @@ At least two specialized R packages ([`stocc`](https://cran.r-project.org/web/pa It is now possible to fit RSRs in Stan with `ubms` as well, allowing those familiar with `unmarked`/`ubms` syntax and workflows to easily fit spatial models. Currently only single-season occupancy models are supported, but support will soon be extended to other single-season model types. In addition to fitting RSRs, `ubms` also provides tools for applying and visualizing fitted spatial models. -For now these features are available in a dev branch of `ubms` available on [Github](https://github.com/kenkellner/ubms/tree/RSR). +For now these features are available in the dev version of `ubms`, which you can install with the following code: + +```{r,eval=FALSE} +install.packages("ubms", repos="https://kenkellner.com/R") +``` # Example |