{"id":814,"date":"2014-01-28T03:08:30","date_gmt":"2014-01-28T03:08:30","guid":{"rendered":"http:\/\/daphnia.ecology.uga.edu\/drakelab\/?page_id=814"},"modified":"2025-02-21T15:50:00","modified_gmt":"2025-02-21T15:50:00","slug":"software","status":"publish","type":"page","link":"https:\/\/daphnia.ecology.uga.edu\/drakelab\/?page_id=814","title":{"rendered":"Software"},"content":{"rendered":"

\"Rlogo\"<\/a> metacom: Analysis of the elements of metacommunity structure<\/a><\/p>\n

Functions to analyze coherence, boundary clumping, and turnover following the pattern-based metacommunity analysis of Leibold and Mikkelson 2002. The package also includes functions to visualize ecological networks, and to calculate modularity as a replacement to boundary clumping.<\/p>\n

\"Rlogo\"<\/a> helminthR: an R interface to the London Natural History Museum’s host\u2013parasite database<\/a><\/p>\n

Programmatically access the London Natural History Museum’s helminth database<\/a>.<\/p>\n

\"Rlogo\"<\/a> spaero: Software for project AERO<\/a><\/p>\n

Implements methods for anticipating the emergence and eradication of infectious diseases from surveillance time series. Also provides support for computational experiments testing the performance of such methods.<\/p>\n

\"Rlogo\"<\/a><\/p>\n

tycho2: R interface to Project Tycho 2.0 API<\/a><\/p>\n

This R package provides a wrapper for the Project Tycho<\/a> 2.0 web API.<\/p>\n

\"Rlogo\"<\/a><\/p>\n

simplifyNet: Network Sparsification<\/a><\/p>\n

Network sparsification with a variety of novel and known network sparsification techniques. All network sparsification techniques reduce the number of edges, not the number of nodes. Network sparsification is sometimes referred to as network dimensionality reduction.<\/p>\n

\"Rlogo\"<\/a><\/p>\n

S4DM: Small Sample Size Species Distribution Modeling<\/a><\/p>\n

Implements a set of distribution modeling methods that are suited to species with small sample sizes (e.g., poorly sampled species or rare species). While these methods can also be used on well-sampled taxa, they are united by the fact that they can be utilized with relatively few data points. More details on the currently implemented methodologies can be found in Drake and Richards (2018)<\/a>, Drake (2015)<\/a>, and Drake (2014)<\/a>.<\/p>\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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