person("Matt", "Moores", role = c("aut", "cre"), email = "mmoores@gmail.com", comment = c(ORCID = "0000-0003-4531-3572")),
Suggests: mcmcse, coda, PottsUtils, knitr, rmarkdown, rstan, bayess,

Suggests: mcmcse, coda, PottsUtils, knitr, rmarkdown, rstan, lattice

and the parametric functional approximate Bayesian (PFAB) algorithm. Refer to
Suggests: mcmcse, coda, PottsUtils, rstan, knitr, rmarkdown, lattice

person("Kerrie", "Mengersen", role=c("aut", "ths"), email="k.mengersen@qut.edu.au", comment = c(ORCID = "0000-0001-8625-9168")))
and <doi:10.1214/18-BA1130> for further details of specific algorithms.
Kerrie Mengersen [aut, ths] (<https://orcid.org/0000-0001-8625-9168>)

Title: Bayesian Projection of Life Expectancy
Author: Hana Sevcikova, Adrian Raftery; original code written by
Description: Making probabilistic projections of life expectancy for
all countries of the world, using a Bayesian hierarchical

Author: Hana Sevcikova, Adrian Raftery; original WinBugs code written

Suggests: hett, rworldmap, fields, snowFT

Suggests: hett, car, rworldmap, fields, snowFT

Author: Hana Sevcikova, Adrian Raftery; original WinBugs code written by Jennifer Chunn
Description: Making probabilistic projections of life expectancy for all countries of the world, using a Bayesian hierarchical model.
Suggests: hett, car, snowFT, wpp2008, wpp2010

Author: Hana Sevcikova, Adrian Raftery, Jennifer Chunn

Description: Making probabilistic projections of life expectancy for all countries of the world, using a Bayesian hierarchical model <doi:10.1007/s13524-012-0193-x>.

Imports: wpp2017, hett, car, coda, data.table

Imports: wpp2019, hett, car, coda, data.table
Suggests: wpp2017, wpp2015, wpp2012, wpp2010

Description: Making probabilistic projections of life expectancy for all countries of the world, using a Bayesian hierarchical model <doi:10.1007/s13524-012-0193-x>. Subnational projections are also supported.

Title: Bayesian Inference of Landscape Occupancy from Presence-Only
person(given = "Camilo", family= "Sanin", email= "camilosanin@gmail.com", role = c("aut", "cre", "cph")),
person(given = "Adam B.", family= "Smith", email= "adam.smith@mobot.org", role = c("aut", "cph")),
person("Missouri Botanical Garden", role = "cph"),
person("Trustees of Columbia University", role = "cph")
Description: Natural history museums and herbaria collectively hold hundreds of millions of zoological, botanical, and paleontological specimens. These collections serve as the foundation for understanding the distribution of life on Earth and the basis for addressing loss of biodiversity, emerging diseases, and other pressing global problems as well as important question in ecology and evolution. One of the short comings of these kind of data is that the lack of evidence of the presence of a species in a certain region does not mean the species is truly absent there. Likewise, specimens are often misidentified, and therefore the report of a species in a locality is not always evidence that a viable population occurs there. The goal of this project is to develop a method which could be used to estimate the probability of presence of a species in a certain study region based on certain sampling effort and presence reports.
Packaged: 2017-11-27 14:43:01 UTC; csaninriano