FastOccupancy: Fast fitting of Bayesian occupancy models
In alexdiana1992/FastOccupancy: Fast Bayesian occupancy models

Description Details References Examples

The package implements the methods to fit Bayesian occupancy models as described in Diana et al. (2021). The model performs estimate of temporal and spatial trends in the occupancy probability and can incorporate covariates. The inference is performed using the Polya-Gamma scheme for efficient inference.

Example of the use of the package can be found in the vignette.

Diana A., Dennis E., Matechou E. and B.J.T. Morgan. Fast Bayesian inference for large occupancy datasets, using the Polya-Gamma scheme

modelResults <- runModel(sampleData, 
                         index_year = 1, 
                         index_site = 2, 
                         index_occ = 8, 
                         index_spatial_x = 3, 
                         index_spatial_y = 4, 
                         covariates_psi_text = "5", 
                         covariates_p_text = "6-7", 
                         usingSpatial = TRUE,
                         gridStep = .2, 
                         nchain = 1, 
                         nburn = 100,
                         niter = 100) 
                         
plotOccupancyIndex(modelResults)