Bayesian Inference for Presence-Only Data

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Documentation for package ‘bayesPO’ version 0.4.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

$-method	Gamma prior class for the LambdaStar parameter.
$-method	Normal prior class for Beta and Delta parameters.
$-method	Class for the result of the MCMC procedure.
$-method	Class for the initial values for the MCMC for the bayesPO package
$-method	Class that defines a model for the bayesPO package.
$-method	Joint prior class for the bayesPO package parameters
$<--method	Gamma prior class for the LambdaStar parameter.
$<--method	Normal prior class for Beta and Delta parameters.
$<--method	Class that defines a model for the bayesPO package.
$<--method	Joint prior class for the bayesPO package parameters
*-method	Class for the initial values for the MCMC for the bayesPO package
+-method	Class for the result of the MCMC procedure.
+-method	Class for the initial values for the MCMC for the bayesPO package
as.array-method	Class for the result of the MCMC procedure.
as.array.bayesPO_fit	Class for the result of the MCMC procedure.
as.data.frame-method	Class for the result of the MCMC procedure.
as.data.frame.bayesPO_fit	Class for the result of the MCMC procedure.
as.matrix-method	Class for the result of the MCMC procedure.
as.matrix.bayesPO_fit	Class for the result of the MCMC procedure.
barplot.covariates_importance	Class for covariates importance matrices
bayesPO_fit-class	Class for the result of the MCMC procedure.
bayesPO_initial-class	Class for the initial values for the MCMC for the bayesPO package
bayesPO_model	Build a model to be used in the 'bayesPO' fitting function
bayesPO_model-class	Class that defines a model for the bayesPO package.
bayesPO_prior-class	Joint prior class for the bayesPO package parameters
BetaDeltaPrior-class	Generic class for the beta and delta parameters.
boxplot.covariates_importance	Class for covariates importance matrices
c-method	Class for the result of the MCMC procedure.
covariates_importance-class	Class for covariates importance matrices
fit_bayesPO	Fit presence-only data using a Bayesian Poisson Process model
fit_bayesPO-method	Fit presence-only data using a Bayesian Poisson Process model
GammaPrior	Create a Gamma prior object for model specification.
GammaPrior-class	Gamma prior class for the LambdaStar parameter.
initial	Initial values constructor for bayesPO modeling
LambdaStarPrior-class	Generic class for the LambdaStar parameters.
names-method	Gamma prior class for the LambdaStar parameter.
names-method	Normal prior class for Beta and Delta parameters.
names-method	Class for the result of the MCMC procedure.
names-method	Class for the initial values for the MCMC for the bayesPO package
names-method	Class that defines a model for the bayesPO package.
names-method	Joint prior class for the bayesPO package parameters
names.bayesPO_fit	Class for the result of the MCMC procedure.
NormalPrior	Create a Normal prior object for model specification.
NormalPrior-class	Normal prior class for Beta and Delta parameters.
plot.covariates_importance	Class for covariates importance matrices
print-method	Generic class for the beta and delta parameters.
print-method	Gamma prior class for the LambdaStar parameter.
print-method	Normal prior class for Beta and Delta parameters.
print-method	Class for the result of the MCMC procedure.
print-method	Class for the initial values for the MCMC for the bayesPO package
print-method	Class that defines a model for the bayesPO package.
print-method	Joint prior class for the bayesPO package parameters
print.bayesPO_fit	Class for the result of the MCMC procedure.
print.bayesPO_initial	Class for the initial values for the MCMC for the bayesPO package
print.bayesPO_model	Class that defines a model for the bayesPO package.
print.bayesPO_prior	Joint prior class for the bayesPO package parameters
print.BetaDeltaPrior	Generic class for the beta and delta parameters.
print.covariates_importance	Class for covariates importance matrices
print.GammaPrior	Gamma prior class for the LambdaStar parameter.
print.NormalPrior	Normal prior class for Beta and Delta parameters.
prior	Build a joint prior for bayesPO model parameters
show-method	Generic class for the beta and delta parameters.
show-method	Gamma prior class for the LambdaStar parameter.
show-method	Generic class for the LambdaStar parameters.
show-method	Normal prior class for Beta and Delta parameters.
show-method	Class for the result of the MCMC procedure.
show-method	Class for the initial values for the MCMC for the bayesPO package
show-method	Class that defines a model for the bayesPO package.
show-method	Joint prior class for the bayesPO package parameters
summary-method	Class for the result of the MCMC procedure.
summary.bayesPO_fit	Class for the result of the MCMC procedure.
[[-method	Class for the result of the MCMC procedure.