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| author | Ken Kellner <ken@kenkellner.com> | 2022-03-25 13:00:12 -0400 |
|---|---|---|
| committer | Ken Kellner <ken@kenkellner.com> | 2022-03-25 13:00:12 -0400 |
| commit | abc513161f7b6a5dcd666f9f63f42f220913be99 (patch) | |
| tree | f2baceef6f14c032d5b50558db96d57a5b1d0d69 | |
| parent | 9ecc1c09a934b0acfccf1a222bd8dbc94ed025c8 (diff) | |
Update ubms spatial vignette
| -rw-r--r-- | src/ubms-spatial.Rmd | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/ubms-spatial.Rmd b/src/ubms-spatial.Rmd index 9aef6ab..08d3a6c 100644 --- a/src/ubms-spatial.Rmd +++ b/src/ubms-spatial.Rmd @@ -1,6 +1,6 @@ --- title: Spatial Models in ubms -date: 2021-02-15 +date: 2021-06-23 bibliography: references.bib link-citations: yes csl: plos-one.csl @@ -28,7 +28,7 @@ Several recent studies have shown that RSR provides better and faster inference At least two specialized R packages ([`stocc`](https://cran.r-project.org/web/packages/stocc/index.html) and [`Rcppocc`](https://github.com/AllanClark/Rcppocc)) are available for fitting ICAR and RSR occupancy models. 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. +Currently all single-season models in `ubms` are supported. In addition to fitting RSRs, `ubms` also provides tools for applying and visualizing fitted spatial models. For now these features are available in the dev version of `ubms`, which you can install with the following code: |