R: Bayesian Inference for Presence-Only Data

# Bayesian Inference for Presence-Only Data

## Documentation for package ‘bayesPO’ version 0.5.0

- 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.