Title: Class Unions, Matrix Operations, and Color Schemes for OOMPA
Imports: methods, graphics, grDevices, stats, cluster
Description: Provides the class unions that must be
preloaded in order for the basic tools in the OOMPA (Object-Oriented
Microarray and Proteomics Analysis) project to be defined and loaded.
It also includes vectorized operations for row-by-row means,
variances, and t-tests. Finally, it provides new color schemes.
Details on the packages in the OOMPA project can be found at

Packaged: 2019-05-06 12:33:10 UTC; Kevin Coombes

Packaged: 2019-08-24 09:52:53 UTC; Kevin Coombes

Title: Data to Illustrate OOMPA Algorithms
Description: This is a data-only package to provide example data for
other packages that are part of the "Object-Oriented Microrray and
Proteomics Analysis" suite of packages. These are described in more

Title: Helper Functions for Class Object-Oriented Programming
Description: Helper functions for coding object-oriented programming with
a focus on R6. Includes functions for assertions and testing, looping,
and re-usable design patterns including Abstract and Decorator
Packaged: 2021-09-08 17:08:27 UTC; raphaelsonabend

Packaged: 2022-01-21 09:15:08 UTC; raphaelsonabend

Title: S3 Style Object Oriented Programming
Description: Create simple, hassle-free classes with reference semantics
similar to 'RefClass' or 'R6' but relying on S3 methods. "oops" class
instances tend to be lighter weight and faster to create. Creating a
class is as easy creating a list, while generating an instance is a
simple function call. Support for inheritance and fixed field classes.

Title: Object Oriented Statistical Programming
Description: An R package designed to support object oriented
statistical programming, especially by extending S3
capabilities, providing pointer and component objects, and
providing basic support for symbolic-numeric statistical

Description: A platform for, and collection of tools for, object

Description: A platform and collection of tools for, object oriented
statistical programming, with special emphasis on R (S3)
language extensions, including extensions for environment-based
programming and object-functional programming. Note that many
of the features in this package are experimental.