Hierarchical Model of Species Communities (HMSC) is an R package, which provides extensive set of analytical tools devised for numerical analysis of data on ecological communities or other similarly structured data. The methodological core of the HMSC approach is centered on combination of hierarchical regression and latent factor models.

A collection of functions to summarize the Portal Data

Rossman S., Ostrom P.H., Gordon F., and Zipkin E.F. 2016. Beyond carbon and nitrogen: guidelines for estimating three‐dimensional isotopic niche space. Ecology and Evolution 6: 2405-2413.

M.T. Farr, T. O’Brien, C.B. Yackulic, and E.F. Zipkin. (2022). Quantifying the conservation status and abundance trends of wildlife communities with detection-nondetection data. Conservation Biology e13934.

This repository contains all the materials needed to reproduce Roth et. al (2017): Functional ecology and imperfect detection of species. Methods in Ecology and Evolution.

Code to make figures and certain analyses from "Source pool diversity and proximity shape the compositional uniqueness of insular mammal assemblages worldwide" (2021)

This repository contains data and code to reproduce analyses reported in the manuscript, "A keystone gene underlies the persistence of an experimental food web".

Making phylogenies for a list of fish species

Code associated with the following manuscript, currently in review: M.S. Fischer, N.J. Patel, P.J. De Lorimier, M.F. Traxler "Prescribed fire selects for a pyrophilous soil subcommunity in a northern California mixed conifer forest"

R code for "Predicting predator-prey interactions in terrestrial endotherms using random forest"

R functions for trait analysis of ecological communities

Code for community ecology analysis