Title: Gaussian Approximation of Bayesian Binary Regression Models
Description: The main functions compute the expectation propagation approximation of a Bayesian probit/logit models with Gaussian prior. More information can be found in Chopin and Ridgway (2015). More models and priors should follow.

Title: Implementation of the Everglades Phosphorus Gradient Model
Description: Everglades Phosphorus Gradient Model predicts variations in water-column P concentration, peat accretion rate, and soil P concentration along a horizontal gradient imposed by an external phosphorus load and sheet-flow conditions. Potential biological responses are expressed in terms of marsh surface area exceeding threshold criteria for water-column and soil phosphorus concentrations. More information of the model can be found at <http://www.wwwalker.net/epgm/>.

Description: A toolbox for coverage evaluation of proximity programs.
SystemRequirements: GDAL (>= 3.0.2), GEOS (>= 3.8.0), PROJ (>= 6.2.1)
Imports: sp, rgeos, maptools, flexclust, plyr, osrm, deldir, methods,
dplyr, rgdal, leaflet, leaflet.extras, sf
Suggests: knitr, devtools, roxygen2, markdown, rstudioapi (>= 0.11),
Packaged: 2021-08-04 14:28:25 UTC; rdetomasi
Author: Richard Detomasi [aut, cre] (<https://orcid.org/0000-0002-6725-0261>),

dplyr, rgdal, leaflet, leaflet.extras, sf, nngeo, curl,

SystemRequirements: C++11, OpenSSL (>= 1.0.1), GDAL (>= 3.0.2), GEOS
Imports: sp, cpp11, s2, sf, rgeos, maptools, flexclust, plyr, osrm,
deldir, methods, dplyr, rgdal, leaflet, leaflet.extras, nngeo,

Imports: sp, sf, rgeos, maptools, flexclust, plyr, osrm (>= 3.5.1),

Title: Ensemble Patch Transform, Visualization and Decomposition
person("Hee-Seok", "Oh", role = "aut", email = "heeseok@stats.snu.ac.kr"),
Description: For multiscale analysis, this package carries out ensemble patch transform, its visualization and multiscale decomposition. The detailed procedure is described in Donghoh Kim, Guebin Choi and Hee-Seok Oh (2019) <arXiv:1904.03643>.
Packaged: 2019-11-15 14:17:30 UTC; donghohkim