spOccupancy

Fits single-species, multi-species, and integrated non-spatial and spatial occupancy models using Markov Chain Monte Carlo (MCMC). Models are fit using Polya-Gamma data augmentation detailed in Polson, Scott, and Windle (2013) doi:10.1080/01621459.2013.829001. Spatial models are fit using either Gaussian processes or Nearest Neighbor Gaussian Processes (NNGP) for large spatial datasets. Details on NNGP models are given in Datta, Banerjee, Finley, and Gelfand (2016) doi:10.1080/01621459.2015.1044091 and Finley, Datta, and Banerjee (2022) doi:10.18637/jss.v103.i05. Provides functionality for data integration of multiple single-species occupancy data sets using a joint likelihood framework. Details on data integration are given in Miller, Pacifici, Sanderlin, and Reich (2019) doi:10.1111/2041-210X.13110. Details on single-species and multi-species models are found in MacKenzie, Nichols, Lachman, Droege, Royle, and Langtimm (2002) [doi:10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2](https://doi.org/10.1890%2F0012-9658%282002%29083%5B2248%3AESORWD%5D2.0.CO%3B2) and Dorazio and Royle doi:10.1198/016214505000000015, respectively.

Last 30 days

This package has been downloaded 489 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 13 times.

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Last 365 days

This package has been downloaded 10,413 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Sep 11, 2024 with 100 downloads.

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