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# drmr

`drmr` (pronounced *drummer*) is an `R` package for fitting dynamic
range models. Inference is carried out in a Bayesian framework via
range models to spatiotemporal data on species abundance. Dynamic range models are spatial population models in which demographic rates (e.g., reproduction or mortality) are influenced by the environment. Inference is carried out in a Bayesian framework via
Markov Chain Monte Carlo (MCMC) samples available in `Stan`.

For details, please see Vignettes linked below and [da Cunha Godoy et al. 2026](https://ecoevorxiv.org/repository/view/12564/).

### Installation

The installation of the development version from GitHub can be done via
Expand All @@ -12,3 +14,11 @@ The installation of the development version from GitHub can be done via
remotes::install_github("pinskylab/drmr")
## or devtools::install_github("pinskylab/drmr")
```
### Vignettes

* [Get started](https://pinskylab.github.io/drmr/articles/get-started.html)
* [Theoretical background](https://pinskylab.github.io/drmr/articles/theory.html)
* [Algorithms](https://pinskylab.github.io/drmr/articles/algos.html)
* [Initializing densities](https://pinskylab.github.io/drmr/articles/init.html)
* [Parameterization of the density functions](https://pinskylab.github.io/drmr/articles/parametrization.html)
* [Advanced features](https://pinskylab.github.io/drmr/articles/advanced-features.html)