rmarkdown, covr, testthat, raster, maps, ncdf4, knitr, rlang,
rstudioapi, jsonlite

c(person(
family = "Hufkens",
given = "Koen",
email = "koen.hufkens@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-5070-8109")),
person(
family = "Stauffer",
given = "Reto",
email = "Reto.Stauffer@uibk.ac.at",
role = c("ctb"),
comment = c(ORCID = "0000-0002-3798-5507")),
person(
family = "Campitelli",
given = "Elio",
email = "elio.campitelli@cima.fcen.uba.ar",
role = c("ctb"),
comment = c(ORCID = "0000-0002-7742-9230")),
person(given = "BlueGreen Labs",
role = c("cph", "fnd"))
)
httr, keyring, memoise, getPass, curl, R6
rmarkdown, covr, testthat, raster, terra, maps, ncdf4, knitr,
rlang, rstudioapi, jsonlite
Koen Hufkens [aut, cre] (<https://orcid.org/0000-0002-5070-8109>),
Reto Stauffer [ctb] (<https://orcid.org/0000-0002-3798-5507>),
Elio Campitelli [ctb] (<https://orcid.org/0000-0002-7742-9230>),
BlueGreen Labs [cph, fnd]

eco: R Package for Fitting Bayesian Models of Ecological Inference in 2 by 2 Tables
Ying Lu <yinglu@princeton.edu>,
Kosuke Imai <kimai@princeton.edu>
eco is a publicly available R package that fits
parametric and nonparametric Bayesian models for
ecological inference in 2 by 2 tables. The models are fit
using the Markov chain Monte Carlo algorithms that are
described in Imai and Lu (2004).

R Package for Fitting Bayesian Models of Ecological Inference in 2 by 2 Tables
Kosuke Imai <kimai@princeton.edu>,
Ying Lu <ylu@iq.harvard.edu>.

R Package for Fitting Bayesian Models of Ecological Inference in 2x2 Tables
eco is a publicly available R package that fits the
parametric and nonparametric Bayesian models for
ecological inference in 2x2 tables. The models are fit
using the Markov chain Monte Carlo algorithms that are
described in Imai and Lu (2004).

eco is a publicly available R package that fits the
parametric and nonparametric Bayesian models for
ecological inference in 2x2 tables. The models are fit
using the Markov chain Monte Carlo algorithms that are
described in Imai and Lu (2004, 2005).