basic tools for the analysis of disease outbreaks.
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)
R (>= 3.0.0), methods, ggplot2, network, knitr
utils, RColorBrewer, ape, reshape2, sna, plyr, ggmap, scales,
rjson, networkDynamic
'auxClasses.R' 'generics.R' 'obkContacts.R' 'obkSequences.R'
'obkData.R' 'obkData_Accessors.R' 'subset.R' 'obkData_basics.R'
'uniqSequences.R' 'dna2uniqSequences.R' 'make.phylo.R'
'make.attributes.R' 'get.incidence.R' 'phylo2ggphy.R'
'plotggMST.R' 'plotggphy.R' 'plot.R' 'plotIndividualTimeline.R'
'simuEpi.R' 'utils.R' 'plotGeo.R' 'annotatedTreeReader.R'
'importFromJSON.R' 'zzz.R' 'OutbreakTools.R'

utils, RColorBrewer, ape, reshape2, sna, plyr, ggmap, scales,
rjson, networkDynamic, RCurl

Basic Tools for the Analysis of Disease Outbreaks
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.

Outlier Detection using Quantile Regression for Censored Data
Soo-Heang Eo <hanansh@korea.ac.kr> and HyungJun Cho
<hj4cho@korea.ac.kr>
R (>= 2.15.3), methods, quantreg, survival, Formula
This provides three algorithms to detect outliers based on
censored quantile regression.

R (>= 3.0.0), methods, quantreg, survival, Formula

Outlier Detection using quantile regression for Censored Data
c(person(given = "Soo-Heang", family = "Eo", role = c("aut","cre"),
email = "eo.sooheang@gmail.com"),
person(given = "Huixia Judy", family = "Wang", role = "ctb"),
person(given = "Lan", family = "Wang", role = "ctb"),
person(given = "HyungJun", family = "Cho", role = "aut",
email = "hj4cho@korea.ac.kr"))
This package provides three algorithms to detect outlying observations for censored survival data.
R (>= 3.0.0), methods, survival, quantreg, Formula
Soo-Heang Eo [aut, cre],
Huixia Judy Wang [ctb],
Lan Wang [ctb],
HyungJun Cho [aut]