low-dimensional representation of the input space of the training samples, called a map.

Title: Patterns and Statistical Differences Between Two Groups of
Author: Hui (Tom) Tang, Norbert J. Pienta
Maintainer: Hui (Tom) Tang <htang2013@gmail.com>
Description: Methods include converting series of event names to strings,
discovering common patterns in a group of strings, discovering "unique" patterns
when comparing two groups of strings as well as the number and starting position
of each "unique" pattern in each string, finding the transition information, and
statistically comparing the difference between two groups of strings.

of each "unique" pattern in each string, finding the transition matrix and information, and

Description: Methods include converting series of event names to strings, finding common patterns
in a group of strings, discovering "unique" patterns when comparing two groups of strings as well
as the number and starting position of each pattern in each string, obtaining transition matrix,
computing transition entropy, statistically comparing the difference between two groups of strings,
and clustering string groups.Event names can be any action names or labels such as events in log files
or areas of interest (AOIs) in eye tracking research.

in a group of strings, discovering featured patterns when comparing two groups of strings as well
and clustering string groups. Event names can be any action names or labels such as events in log
files or areas of interest (AOIs) in eye tracking research.
Imports: utils, plyr, Rcpp, cluster, graphics, stats

Title: Estimation of the Generalized Symmetry Point, an Optimal
Author: M�nica L�pez-Rat�n, Carmen Cadarso-Su�rez, Elisa M. Molanes-L�pez, Emilio Let�n
Description: Estimation of the cutpoint defined by the Generalized Symmetry point in a binary classification setting based on a continuous diagnostic test or marker. Two methods have been implemented to construct confidence intervals for this optimal cutpoint, one based on the Generalized Pivotal Quantity and the other based on Empirical Likelihood. Numerical and graphical outputs for these two methods are easily obtained.