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metacom performs the Elements of Metacommunity Structure analysis. This analysis aims to classify metacommunites based on the combination of three statistics (coherence, turnover, and boundary clumping). The analysis is performed on site-by-species matrices depicting the distribution of species among sites, but can also be used to examine any similarly bipartite interaction (plant-pollinator, host-parasite, etc.).

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helminthR allows for the programmatic access of London Natural History Museum’s helminth database. This extensive database is composed of over 250,000 host-parasite occurrence records from all over the globe.

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Hmsc contains functions to fit a joint species distribution model (JSDM), analyze the output, and to generate predictions with these trained models. The required data for a HMSC analysis includes a matrix of species occurrences or abundances and a matrix of environmental covariates. Optionally, the user can include information species traits, phylogenetic relationships and information on the spatiotemporal context of the sampling design to account for dependencies among the sampling units.

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