Calculate the third-order accurate Unbiased P-values via Speedy
double bootstrap method
Calculating the third-order unbiased p-values via speedy
double bootstrap method.

c(person(given = "John",
family = "Riddles",
role = c("aut", "cre"),
email = "JohnRiddles@westat.com"),
person("Westat", role = "cph"))
Tools for calculating disclosure risk measures, including
record-level measures primarily using exhaustive tabulation, as well as
file-level measures using a loglinear model. Funded by the National Center
for Education Statistics. See El Emam (2011) <doi:10.1186/gm239> for a
description of risk measures.
This publication was prepared for NCES under Contract No.
ED-IES-12-D-0009/0005 with Sanametrix and Westat. Mention of
trade names, commercial products, or organizations does not
imply endorsement by the U.S. Government.

Tools for calculating disclosure risk measures for microdata,
including record-level and file-level measures. The record-level disclosure
risk is estimated primarily using exhaustive tabulation. The file-level
disclosure risk is estimated by fitting loglinear models on the observed
sample counts in cells formed by key variables and their interactions.
Funded by the National Center for Education Statistics. See Skinner and
Shlomo (2008) <doi:10.1198/016214507000001328> for a description of the
file-level risk measures and the loglinear model approach.

Luca Bagnato, Lucio De Capitani, Angelo Mazza and Antonio Punzo
This package allows for computing (and by default
plotting) different types of serial dependence diagrams.

This package allows for  computing (and by default plotting) different types of serial dependence diagrams.

Allows for  computing (and by default plotting) different types of serial dependence diagrams.

Stepwsie Diagonal Discriminant Analysis - a fast algorithm for building multivariate classifiers

Stepwsie Diagonal Discriminant Analysis - a fast algorithm
for building multivariate classifiers

R (>= 3.0), igraph, doParallel, foreach, iterators, parallel
Shortcuts, Detours and Dead Ends (SDDE) Path Types in Genome
Similarity Networks
Etienne Lord, Margaux Le Cam, Eric Bapteste, Vladimir Makarenkov and Francois-Joseph Lapointe
Compares the evolution of an original network X to an augmented network Y by counting the number of Shortcuts, Detours, Dead Ends (SDDE), equal paths and disconnected nodes.