mml

Class Multinomial.M.Trials

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.Multinomial.M.Trials

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Multinomial.M

public class Multinomial.M.Trials
extends UPModel

An UnParameterised Model, given 'n' trials over 'k' categories, of Vectors of 'k' frequencies f_i, i=0..k-1, that sum to 'n'. Note that 'Trials' is only a partially implemented model – just enough for the purposes of Multinomial.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Multinomial.M.Trials.TM A fully (trivially) parameterised Model of Vectors of 'k' frequencies that sum to 'n'.

Nested classes/interfaces inherited from class mml.UPModel

UPModel.Est, UPModel.M, UPModel.Transform

Nested classes/interfaces inherited from class la.la.Function.Native

Function.Native.WithInverse

Nested classes/interfaces inherited from class la.la.Function

Function.Cts2Cts, Function.Cts2Cts2Cts, Function.CtsD2CtsD, Function.HasInverse, Function.Native, Function.Native2, Function.Native3

Nested classes/interfaces inherited from class la.la.Value

Value.Atomic, Value.Bool, Value.Char, Value.Chars, Value.Cts, Value.Defer, Value.Discrete, Value.Enum, Value.Inc_Or, Value.Int, Value.Lambda, Value.List, Value.Maybe, Value.Option, Value.Real, Value.Scannable, Value.Structured, Value.Triv, Value.Tuple

Field Summary

Fields

Modifier and Type	Field and Description
int	n The number of trials, 'n', of the 'k' categories.

Fields inherited from class mml.UPModel

dp

Fields inherited from class la.la.Value

C, comparator, CR, E, eight, ffalse, five, fiveR, four, fourR, half, negCR, negOne, negOneR, negTenR, nilVal, nine, None, one, oneR, PI, PIby2, point01, point1, point5, point9, quarter, seven, six, ten, tenR, three, threeR, triv, ttrue, two, twoR, zero, zeroR

Constructor Summary

Constructors

Constructor and Description
Trials(Value n) 'n' is the number of trials.

Method Summary

Modifier and Type	Method and Description
Multinomial.M.Trials.TM	sp2Model(double msg1, double msg2, Value sp) Given two-part message lengths msg1 & msg2, and statistical parameter sp, return a fully parameterised M-Model.
Value	stats(boolean add, Value ss0, Value ss1) Not implemented, throw an RTE!
Value	stats(Vector ds, int lo, int hi) Not implemented, throw an RTE!

Methods inherited from class mml.UPModel

apply, defnParams, estimator, main, stats, stats, toString, transform

Methods inherited from class la.la.Function

bOp, fromBop, fromUop, type, uOp

Methods inherited from class la.la.Value

AoM, bOp, compareTo, cons, cts, elt, errMsg, error, force, isTuple, just, n, nElts, nlAoM, pair, print, quad, real, RTE, triple, tuple, UOE, x

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

n

public final int n

The number of trials, 'n', of the 'k' categories.

Constructor Detail

Trials

public Trials(Value n)

'n' is the number of trials. This is supplied by Multinomial.M.condModel(la.la.Value).

Method Detail

stats

public Value stats(Vector ds,
                   int lo,
                   int hi)

Not implemented, throw an RTE!

Specified by:

stats in class UPModel

stats

public Value stats(boolean add,
                   Value ss0,
                   Value ss1)

Not implemented, throw an RTE!

Specified by:

stats in class UPModel

sp2Model

public Multinomial.M.Trials.TM sp2Model(double msg1,
                                        double msg2,
                                        Value sp)

Description copied from class: UPModel

Given two-part message lengths msg1 & msg2, and statistical parameter sp, return a fully parameterised M-Model. If 'this' UPModel produces a Model m, then sp2Model(m.msg1(), m.msg2(), m.statParams()) must be equivalent to m. Also see apply(sp).

Specified by:

sp2Model in class UPModel