Several estimators of the diagonal elements of a sparse precision
(inverse covariance) matrix from a sample of Gaussian vectors for a
given matrix of estimated marginal regression coefficients. Moreover, a robust estimator
of the precision matrix is proposed.
To install package 'gurobi', instructions at
http://user.gurobi.com/download/gurobi-optimizer and
http://www.gurobi.com/documentation/6.0/refman/r_api_overview.html.
MASS, Matrix, graph, RBGL, SparseM, stats

Bagging with Distance-based Regression for Differential Gene
Expression Analyses
This package implements a statistical data mining method to
compare whole genome gene expression profiles, with respect to the presence
of a recurrent genetic disturbance event, to identify the affected target
genes.

Representation of DET Curve with Confidence Intervals
c(
person("García-Ródenas, Álvaro",
role = c("aut","cre"),
email = "alvaro.garcia9@um.es"),
person("Franco, Manuel",
role = c("aut"),
email = "mfranco@um.es"),
person("Vivo, Juana-María",
role = c("aut"),
email = "jmvivomo@um.es"),
person("Fernández-Breis, Jesualdo T.",
role = c("aut"),
email = "jfernand@um.es"),
person("Font, Roberto",
role = c("aut"),
email = "roberto.font@biometricvox.com"))
Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors, which are the
results of a binary classification system. The curves give a general vision of the performance of the classifier,
and are useful for comparing performance of different systems.
García-Ródenas, Álvaro [aut, cre],
Franco, Manuel [aut],
Vivo, Juana-María [aut],
Fernández-Breis, Jesualdo T. [aut],
Font, Roberto [aut]

A Differential Expression Analysis Toolkit for Visual Analytics
and Data Aggregation
Differential expression analysis tools for data aggregation, visualization, exploratory analysis, and project organization.
ggplot2, pheatmap, RColorBrewer, ggthemes, MASS, plyr, ggsci,
SummarizedExperiment, methods, ggdendro, PoiClaClu, reshape2,
grDevices, stats, utils, gridExtra