Title: Hierarchical Bayesian Species Distribution Models
Suggests: knitr, raster, sp, rmarkdown, bookdown
person("John A.", "Silander Jr.", role="ctb"),
Description: User-friendly and fast set of functions for estimating parameters of hierarchical Bayesian species distribution models (Latimer et al. 2006 <doi:10.1890/04-0609>). Such models allow interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results.

Author: Ghislain Vieilledent, Cory Merow, Jérôme Guélat, Andrew M. Latimer, Marc Kéry, Alan E. Gelfand, Adam M. Wilson, Frédéric Mortier and John A. Silander Jr.
Description: hSDM is an R package for estimating parameters of hierarchical Bayesian species distribution models. Such models allow interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results.

Title: Software to Perform Haar Fisz Transforms
Description: A Haar-Fisz algorithm for Poisson intensity estimation.
Will denoise Poisson distributed sequences where
underlying intensity is not constant. Uses the multiscale
variance-stabilization method called the Haar-Fisz transform.
Contains functions to carry out the forward and inverse
Haar-Fisz transform and denoising on near-Gaussian sequences.
Main reference: Fryzlewicz, P. and Nason, G.P. (2004)
"A Haar-Fisz algorithm for Poisson intensity estimation."
Journal of Computational and Graphical Statistics,