Depends: R(>= 2.9.1), methods, stats, graphics, subplex

Title: Multivariate Outlier Detection and Replacement
Description: Provides a random forest based implementation of
the method described in Chapter 7.1.2 (Regression model based anomaly
numeric variable is regressed onto all other variables by a random
forest. If the scaled absolute difference between observed value and
out-of-bag prediction of the corresponding random forest is
suspiciously large, then a value is considered an outlier. The package
offers different options to replace such outliers, e.g. by realistic
values found via predictive mean matching. Once the method is trained
on a reference data, it can be applied to new data.
Imports: stats, graphics, FNN, ranger, missRanger (>= 2.1.0)

works as follows: Each numeric variable is regressed onto all other
variables by a random forest. If the scaled absolute difference
between observed value and out-of-bag prediction of the corresponding
random forest is suspiciously large, then a value is considered an
outlier. The package offers different options to replace such
outliers, e.g. by realistic values found via predictive mean matching.
Once the method is trained on a reference data, it can be applied to

Description: Provides a random forest based implementation of the method
described in Chapter 7.1.2 (Regression model based anomaly detection)
follows: Each numeric variable is regressed onto all other variables
by a random forest. If the scaled absolute difference between observed
value and out-of-bag prediction of the corresponding random forest is
Imports: ranger, FNN, graphics, stats, missRanger (>= 2.1.0)

Title: outbreaker: Bayesian inference of outbreak dynamics based on
Author: Thibaut Jombart <t.jombart@imperial.ac.uk>, Anne Cori, Xavier
Didelot, Simon Cauchemez, Christophe Fraser, Neil Ferguson
Depends: R (>= 2.3.0), ape, igraph, adegenet
Description: Bayesian inference of outbreak dynamics based on

Title: Bayesian inference of outbreak dynamics based on epidemiological

Title: Bayesian reconstruction of disease outbreaks by combining
Author: Thibaut Jombart <t.jombart@imperial.ac.uk>, Anne Cori, Xavier Didelot, Simon Cauchemez, Christophe Fraser, Neil Ferguson
Imports: utils, ape, igraph, adegenet, parallel
Description: Bayesian reconstruction of disease outbreaks using epidemiological and genetic information.