mml

Class Multinomial.M.Trials.TM

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.Multinomial.M.Trials.TM

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Multinomial.M.Trials

public class Multinomial.M.Trials.TM
extends UPModel.M

A fully (trivially) parameterised Model of Vectors of 'k' frequencies that sum to 'n'. Note that 'Trials.TM' is only a partially implemented model – just enough for the purposes of Multinomial.M.
(Note, the javac compiler objects to calling this class 'M' [error: class Multinomial.M is already defined], even though the other M is Multinomial.M and this class would be Multinomial.M.Trials.M –27/1/2017.)

Nested Class Summary

Nested classes/interfaces inherited from class mml.Model

Model.Defaults, Model.Transform

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 inherited from class mml.Model

msg1, msg2, sp

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
TM(double msg1, double msg2, Value sp) Note, 'sp' is 'triv', '( )'.

Method Summary

Modifier and Type	Method and Description
double	nlLH(Value ss) Not implemented, throw an RTE!
double	nlPr(Value f) Negative log probability of 'f', frequencies of 'k' categories in 'n' trials. pr(f) = (n! / (∏ f[i]!)) (∏ pr[i]^f[i]) The 'pr[i]' , actually the nlPrs[i], come from the Multinomial.M.

Methods inherited from class mml.UPModel.M

asGiven, asGiven, stats, stats, toString

Methods inherited from class mml.Model

asEstimator, asUPModel, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, pr, random, random, randomSeries, statParams, stats, stats, sumNlPr, transform, type, zeroTriv

Methods inherited from class la.la.Value

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

Methods inherited from class java.lang.Object

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

Constructor Detail

TM

public TM(double msg1,
          double msg2,
          Value sp)

Note, 'sp' is 'triv', '( )'.

Method Detail

nlLH

public double nlLH(Value ss)

Not implemented, throw an RTE!

Specified by:

nlLH in class Model

nlPr

public double nlPr(Value f)

Negative log probability of 'f', frequencies of 'k' categories in 'n' trials.
pr(f) = (n! / (∏ f[i]!)) (∏ pr[i]^f[i])
The 'pr[i]' , actually the nlPrs[i], come from the Multinomial.M. Note, 'f' must be a Vector of 'k' integers (frequencies) that sum to 'n'; nlPr(f) throws an error if not.

Specified by:

nlPr in class Model