Description: Implementation of different statistical tools for the
description and analysis of gene expression data based on the
concept of data depth, namely, the scale curves for
(e.g. types of tumors), a rank test to decide whether two groups
of samples come from a single distribution and two methods of
supervised classification techniques, the DS and TAD methods.
All these techniques are based on the Modified Band Depth, which
is a recent notion of depth with a low computational cost, what
renders it very appropriate for high dimensional data such as

Description: Offers a special data structure called a 'deque'
(pronounced like 'deck'), which is a list-like structure.  However,
unlike R's list structure, data put into a 'deque' is not necessarily
stored contiguously, making insertions and deletions at the front/end
of the structure much faster.  The implementation here is new and
uses a doubly linked list, and whence does not rely on R's
environments.  To avoid unnecessary data copying, most 'deque'
operations are performed via side-effects.

Title: Stacks, Queues, and 'Deques' for R
Description: Queues, stacks, and 'deques' are list-like, abstract data types.
These are meant to be very cheap to "grow", or insert new objects into.
A typical use case involves storing data in a list in a streaming fashion,
when you do not necessarily know how may elements need to be stored.
Unlike R's lists, the new data structures provided here are not
necessarily stored contiguously, making insertions and deletions at the
front/end of the structure much faster.  The underlying implementation
is new and uses a head/tail doubly linked list; thus, we do not rely on R's
environments or hashing.  To avoid unnecessary data copying, most operations
on these data structures are performed via side-effects.

Title: Functions and R Code to Accompany Derivatives Markets
Authors@R: c(person("Robert", "McDonald", email = "rmcd1024@gmail.com",
Description: A set of pricing and expository functions that should
be useful in teaching a course on financial derivatives.
Suggests: highlight, markdown, knitr, rmarkdown