Title: Ecological Regression using Aggregate and Individual Data
Description: Estimating individual-level covariate-outcome associations
using aggregate data ("ecological inference") or a combination of
aggregate and individual-level data ("hierarchical related regression").

Title: Ecological regression using aggregate and individual data
using aggregate data ("ecological inference") or a combination
of aggregate and individual-level data ("hierarchical related

Title: Conducts Analyses Informing Ecosystem Restoration Decisions
c(person(given = "S. Kyle", family = "McKay",
person(given = "Darixa D.", family = "Hernandez-Abrams",
Description: Three sets of data and functions for informing ecosystem restoration
decisions, particularly in the context of the U.S. Army Corps of Engineers.
First, model parameters are compiled as a data set and associated metadata
for over 500 habitat suitability models developed by the U.S. Fish and
Wildlife Service (USFWS 1980) <https://www.fws.gov/policy/ESMindex.html>.
Second, functions for conducting habitat suitability analyses both for the
models described above as well as generic user-specified model
parameterizations. Third, a suite of decision support tools for conducting
cost-effectiveness and incremental cost analyses (Robinson et al. 1995)
Imports: viridis, stats, graphics, grDevices
Author: S. Kyle McKay [aut, cre] (<https://orcid.org/0000-0003-2703-3841>),
Maintainer: S. Kyle McKay <kyle.mckay@usace.army.mil>

Title: R Interface to the EcoData Retriever
Description: Provides an R interface to the EcoData Retriever
(http://ecodataretriever.org/) via the EcoData Retriever's
command line interface. The EcoData Retriever automates the
tasks of finding, downloading, and cleaning ecological datasets,
and then stores them in a local database.
Authors@R: c(person("Daniel", "McGlinn", role = c("aut", "cre"),
SystemRequirements: EcoData Retriever (>= 1.6)
Packaged: 2014-09-28 14:46:23 UTC; danmcglinn

Packaged: 2015-11-18 15:41:23 UTC; danmcglinn

Packaged: 2015-11-13 15:53:04 UTC; danmcglinn