Power Estimates and Equivalence Testing for Multivariate Data
c(
person("Ben", "Maslen", role = "aut"),
person("Michelle", "Lim", email = "michelle.lim@unsw.edu.au", role = c("aut", "cre"))
)
Estimates power by simulation for multivariate
abundance data to be used for sample size estimates. Multivariate
equivalence testing by simulation from a Gaussian copula model.
The package also provides functions for parameterising multivariate effect
sizes and simulating multivariate abundance data jointly. The discrete
Gaussian copula approach is described in
Popovic et al. (2018) <doi:10.1016/j.jmva.2017.12.002>.
Ben Maslen [aut],
Michelle Lim [aut, cre]

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

Ecological regression using aggregate and individual data
Estimating individual-level covariate-outcome associations
using aggregate data ("ecological inference") or a combination
of aggregate and individual-level data ("hierarchical related
regression").

Conducts Analyses Informing Ecosystem Restoration Decisions
c(person(given = "S. Kyle", family = "McKay",
role = c("aut", "cre"),
email = "kyle.mckay@usace.army.mil",
comment = c(ORCID = "0000-0003-2703-3841")),
person(given = "Darixa D.", family = "Hernandez-Abrams",
role = c("aut"),
email = "darixa.d.hernandez-abrams@erdc.dren.mil"))
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)
<https://www.iwr.usace.army.mil/Portals/70/docs/iwrreports/95-R-1.pdf>.
S. Kyle McKay [aut, cre] (<https://orcid.org/0000-0003-2703-3841>),
Darixa D. Hernandez-Abrams [aut]