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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance by Thomas Mailund

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Index

A

  1. Algorithms, implementations

B

  1. Bayesian linear regression

C, D, E

  1. Classes

  2. Class hierarchies

    1. abstract and concrete classes

    2. bibliography objects

    3. generic functions

    4. GraphicalObject

    5. implementation

    6. interface

    7. polymorphism

    8. prune function

  3. Composite design pattern

  4. Constructors

F

  1. Fitted model objects

G, H

  1. Generic functions

    1. stack

    2. UseMethod

  2. GraphicalObject

I, J, K, L

  1. Interfaces

M

  1. Model matrices

N

  1. NextMethod

O

  1. Operator overloading

    1. arithmetic modulus

    2. group operators

    3. S4 class

    4. single operators

    5. units

P, Q

  1. Polymorphic functions

  2. Polymorphism

    1. algorithmic programming

    2. sorting lists

    3. use case

  3. Predicting response variables

  4. Prune function

R

  1. R6 system

    1. active bindings

    2. inheritance

    3. object initialization

    4. objects and object sharing

    5. private and public attributes

    6. S3 and operator overloading

    7. VectorStack

  2. Reuse code

    1. class hierarchies ...

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