Authors@R: c(person(c('Quentin', 'D.'), 'Read', role = c('aut', 'cre'), email = 'quentin.read@usda.gov'),
'Ostats' is part of the collaborative Macrosystems Biodiversity Project "Local- to continental-scale
Maintainer: Quentin D. Read <quentin.read@usda.gov>

Title: Temporal Estimation of Isotopic Values
Description: Estimates the temporal changes of isotopic values of bone and teeth data solely based on the renewal rate of different bones/teeth and given measurements. The package furthermore provides plotting and exporting functionalities.
person("Ricardo", "Fernandes", email = "ldv1452@gmail.com", role = c("aut"))

Title: basic tools for the analysis of disease outbreaks.
Author: The Hackout team (In alphabetic order: David Aanensen, Marc Baguelin, Paul Birrell, Simon Cauchemez, Anton Camacho, Caroline Colijn, Anne Cori, Xavier Didelot, Ken Eames, Christophe Fraser, Simon Frost, Niel Hens, Joseph Hugues, Thibaut Jombart, Lulla Opatowski, Oliver Ratmann, Samuel Soubeyrand, Marc Suchard, Jacco Wallinga, Rolf Ypma)
Depends: R (>= 3.0.0), methods, ggplot2, network, knitr
Imports: utils, RColorBrewer, ape, reshape2, sna, plyr, ggmap, scales,
Description: basic tools for the analysis of disease outbreaks.
Collate: 'auxClasses.R' 'generics.R' 'obkContacts.R' 'obkSequences.R'

Title: Basic Tools for the Analysis of Disease Outbreaks
Description: Implements basic tools for storing, handling and visualizing disease outbreak data, as well as simple analysis tools. OutbreakTools defines the new formal class obkData which can be used to store any case-base outbreak data, and provides summaries for these objects, alongside a range of functions for subsetting and data manipulation. It implements a range of graphics for visualising timelines, maps, contact networks and genetic analyses. It also includes a simple case-base outbreak simulation tool.

Title: Outlier Detection using Quantile Regression for Censored Data
Author: Soo-Heang Eo <hanansh@korea.ac.kr> and HyungJun Cho
Depends: R (>= 2.15.3), methods, quantreg, survival, Formula
Description: This provides three algorithms to detect outliers based on