Algorithms, implementations
Bayesian linear regression
Classes
Class hierarchies
abstract and concrete classes
bibliography objects
generic functions
GraphicalObject
implementation
interface
polymorphism
prune function
Composite design pattern
Constructors
Fitted model objects
Generic functions
stack
UseMethod
GraphicalObject
Interfaces
Model matrices
NextMethod
Operator overloading
arithmetic modulus
group operators
S4 class
single operators
units
Polymorphic functions
Polymorphism
algorithmic programming
sorting lists
use case
Predicting response variables
Prune function
R6 system
active bindings
inheritance
object initialization
objects and object sharing
private and public attributes
S3 and operator overloading
VectorStack
Reuse code
class hierarchies
constructors
generic functions
NextMethod
S3 class
defining
generic functions
hierarchies and generic functions
callNextMethod
defining function
objects
requireMethods
stack
object validity
and s4
slot prototypes
Statistical models
Bayesian linear regression
coefficients and predict
fitted model objects
model matrices
predicting response variables
Type-signatures
Units
UseMethod function
3.147.13.192