General Markov Chain Monte Carlo for Bayesian Inference using
adaptive Metropolis-Hastings sampling
Performs general Metropolis-Hastings Markov Chain Monte
Carlo sampling of a user defined function which returns the
un-normalized value (likelihood times prior) of a Bayesian
model.  The proposal variance-covariance structure is updated
adaptively for efficient mixing when the structure of the
target distribution is unknown.  The package also provides some
functions for Bayesian inference including Bayesian Credible
Intervals (BCI) and Deviance Information Criterion (DIC)
calculation.

MASS, fUtilities, compiler, R (>= 2.13.0)
Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling of a user defined function which returns the un-normalized value (likelihood times prior) of a Bayesian model.  The proposal variance-covariance structure is updated adaptively for efficient mixing when the structure of the target distribution is unknown.  The package also provides some functions for Bayesian inference including Bayesian Credible Intervals (BCI) and Deviance Information Criterion (DIC) calculation.

c(
person("Julien", "Vollering", email = "julien.vollering@hisf.no", role = c("aut", "cre")),
person("Sabrina", "Mazzoni", email = "sabrina.mazzoni@nhm.uio.no", role = "aut"),
person("Rune", "Halvorsen", email = "rune.halvorsen@nhm.uio.no", role = "aut"))
Tools for training, selecting, and evaluating maximum entropy
(Maxent) distribution models. This package provides tools for user-
controlled transformation of explanatory variables, selection of variables
by nested model comparison,  and flexible model evaluation and projection.
It is based on the strict maximum likelihood interpretation of maximum
entropy modelling.
Maxent.jar software, Java Runtime Environment (JRE)
Julien Vollering [aut, cre],
Sabrina Mazzoni [aut],
Rune Halvorsen [aut]

c(
person("Julien", "Vollering", email = "julien.vollering@hvl.no", role = c("aut", "cre")),
person("Sabrina", "Mazzoni", email = "sabgis@uevora.pt", role = "aut"),
person("Rune", "Halvorsen", email = "rune.halvorsen@nhm.uio.no", role = "aut"))
dplyr (>= 0.4.3), e1071 (>= 1.6-7), graphics, grDevices,
raster (>= 2.5-8), stats, utils