README.Rmd

---
output: github_document
---


```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# drmr <a href="https://pinskylab.github.io/drmr/"><img src="man/figures/logo.png" align="right" height="120" alt="drmr website" /></a>

<!-- badges: start -->
[![R-CMD-check](https://github.com/pinskylab/drmr/workflows/check-cran/badge.svg)](https://github.com/pinskylab/drmr/actions)
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
<!-- badges: end -->

`drmr` (pronounced *drummer*) is an `R` package for fitting dynamic 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

``` r
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)