Title: Generalized Propensity Score Cumulative Distribution Function
person("Derek", "Brown", email= "derek9@gwu.edu", role= c("aut", "cre")),
Description: Implements the generalized propensity score cumulative distribution
A single scalar balancing score is calculated for any generalized propensity
score vector with three or more treatments. This balancing score is used for
propensity score matching and stratification in outcome analyses when analyzing
either ordinal or multinomial treatments.

person("Derek W.", "Brown", email= "derek9@gwu.edu", role= c("aut", "cre")),
Maintainer: Derek W. Brown <derek9@gwu.edu>

Title: Sequential Clustering Algorithm for Location Data
Description: Applies sequential clustering algorithm to animal location data based on user-defined parameters
and appends results to the dataframe. Plots interactive cluster maps and provides a summary dataframe
with attributes for each cluster commonly used as covariates in subsequent modeling efforts. Additional
functions provide individual keyhole markup language plots for quick assessment, and export
global positioning system exchange format files for navigation purposes.
Imports: geosphere, leaflet, leaflet.extras, plotKML, plyr, purrr,
rgdal, sp, spacetime, stats, suncalc, tcltk, utils

Description: Applies sequential clustering algorithm to animal location data
based on user-defined parameters. Plots interactive cluster maps and
provides a summary dataframe with attributes for each cluster commonly
used as covariates in subsequent modeling efforts. Additional functions
provide individual keyhole markup language plots for quick assessment,
and export of global positioning system exchange format files for
Imports: geosphere, htmlwidgets, leaflet, leaflet.extras, plotKML,
plyr, purrr, rgdal, sp, spacetime, stats, suncalc, tcltk, utils

Title: Gaussian Processes for Pareto Front Estimation and Optimization
Description: Gaussian process regression models, a.k.a. kriging models, are
applied to global multiobjective optimization of black-box functions.
Multiobjective Expected Improvement and Stepwise Uncertainty Reduction
sequential infill criteria are available. A quantification of uncertainty
on Pareto fronts is provided using conditional simulations.
Depends: DiceKriging (>= 1.5.3), emoa, methods
Imports: Rcpp (>= 0.11.1), rgenoud, pbivnorm, pso, randtoolbox,