Bayesian Inference for Presence-Only Data
person("Guido", "Alberti Moreira", email = "guidoalber@gmail.com",
role = c("cre","aut"), comment=c(ORCID="0000-0001-7557-0874"))
Presence-Only data is best modelled with a Point Process Model.
The work of Moreira (2020) provides a way to use exact Bayesian
inference to model this type of data, which is implemented in this package.
Rcpp, coda, parallel, methods, RcppProgress, graphics, stats,
tools
bayesplot, knitr, rmarkdown, webshot, ggplot2, MASS
'RcppExports.R' 'bayesPO-package.R' 'prior-class.R'
'initial-class.R' 'model-class.R' 'fit-class.R' 'bayesPO.R'
'covariate_importance-class.R'
Guido Alberti Moreira [cre, aut]
(<https://orcid.org/0000-0001-7557-0874>)

R (>= 2.12.0), abind, bayesTFR, bayesLife
The package allows to generate population projections for
all countries of the world using several probabilistic
components, such as total fertility rate (TFR) and life
expectancy.

The package allows to generate population projections for all countries of the world using several probabilistic components, such as total fertility rate (TFR) and life expectancy.

Generating population projections for all countries of the world using several probabilistic components, such as total fertility rate (TFR) and life expectancy.

parallel, abind, plyr, wpp2012, graphics, grDevices, stats,
utils, rworldmap, fields, googleVis

Hana Sevcikova, Adrian Raftery, Thomas Buettner
parallel, abind, plyr, wpp2015, wpp2012, graphics, grDevices,
stats, utils, rworldmap, fields, googleVis

Generating population projections for all countries of the world using several probabilistic components, such as total fertility rate and life expectancy.

parallel, abind, plyr, wpp2015, wpp2012, graphics, grDevices,
stats, utils, rworldmap, fields, googleVis, reshape2

parallel, abind, plyr, wpp2017, wpp2012, graphics, grDevices,
stats, utils, rworldmap, fields, googleVis, reshape2

parallel, abind, data.table, wpp2019, wpp2012, graphics,
grDevices, stats, utils, rworldmap, fields, googleVis,
reshape2, plyr