Author: Han Chen, Matthew P. Conomos, Duy T. Pham

Title: Likelihood-based Boosting for Generalized mixed models
Description: Likelihood-based Boosting for Generalized mixed models

Packaged: 2012-03-29 16:28:00 UTC; JasminAndy

Title: Likelihood-Based Boosting for Generalized Mixed Models
Description: Likelihood-based boosting approaches for generalized mixed models are provided.

Title: Graph Matching with Degree Profiles
Description: Functions for graph matching via nodes' degree profiles are provided in this package. The models we can handle include Erdos-Renyi random graphs and stochastic block models(SBM). More details are in the reference paper: Yaofang Hu, Wanjie Wang and Yi Yu (2020) <arXiv:2006.03284>.
Imports: combinat, stats, transport, igraph
Authors@R: c(person("Yaofang", "Hu", role=c("aut", "cre"), email = "yaofang.hu@u.nus.edu"),
person("Wanjie", "Wang", role=c("aut"), email = "staww@nus.edu.sg"),
person("Yi", "Yu", role=c("aut"), email = "yi.yu.2@warwick.ac.uk"))

Title: Generalised Management Strategy Evaluation Simulator
Authors@R: person("A. Bradley", "Duthie", email = "brad.duthie@gmail.com",
Maintainer: A. Bradley Duthie <brad.duthie@gmail.com>
Description: Integrates game theory and ecological theory to construct
social-ecological models that simulate the management of populations and
stakeholder actions. These models build off of a previously developed
management strategy evaluation (MSE) framework to simulate all aspects of
management: population dynamics, manager observation of populations, manager
decision making, and stakeholder responses to management decisions. The
newly developed game-theoretic management strategy evaluation (GMSE)
framework uses genetic algorithms to mimic the decision-making process of
managers and stakeholders under conditions of change, uncertainty, and

newly developed generalised management strategy evaluation (GMSE)
conflict. All simulations can be run using the gmse() function.

Imports: grDevices, graphics, stats, shiny, shinydashboard, shinyjs
Authors@R: c(person("A. Bradley", "Duthie", email = "brad.duthie@gmail.com",
person("Nils", "Bunnefeld", role = c("ctb", "fnd"),
person("Jeremy", "Cusack", role = "ctb",
person("Erlend", "Nilsen", role = "ctb",
person("Sarobidy", "Rakotonarivo", role = "ctb",
person("Bram", "Van Moorter", role = "ctb",
conflict. Simulations can be run using gmse(), gmse_apply(), and