mml

Class R_D.M.Transform.MM

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.ByPdf.M

mml.R_D.M

mml.R_D.M.Transform.MM

All Implemented Interfaces:

java.lang.Comparable<Value>, HasPdf

Enclosing class:

R_D.M.Transform

public class R_D.M.Transform.MM
extends R_D.M

(Wanted to call this class M, as in R_D.M.Transform.M, but the compiler (1.8.0_101) objects.) The fully, trivially parameterised...M. The UnParameterised model is R_D.M.Transform; a Transform.MM "is a" (extends) R_D.M. Also see the related but different R_D.Transform.
NB. The preferred way to transform a R_D.M is to use function R_D.M.transform(f).

Nested Class Summary

Nested classes/interfaces inherited from class mml.R_D.M

R_D.M.Transform

Nested classes/interfaces inherited from class mml.Model

Model.Defaults

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
MM(double msg1, double msg2, Value sp) Note, msg1=0 and statistical parameter sp=triv, checked.

Method Summary

Modifier and Type	Method and Description
double	nlLH(Value ss) Use the enclosing R_D.M.this's nlLH(ss) but statistics 'ss' come from R_D.M.Transform.stats(la.maths.Vector, int, int).
double	nlPdf(Value xs) R_D.M.this.nlPdf(f.apply(v)) + f.nlJ(v).
double[]	random_x() Requires 'f' to have an implemented inverse to work.
java.lang.String	toString() Return a String representation of 'this' fully parameterised Model.

Methods inherited from class mml.R_D.M

D, random, random, transform

Methods inherited from class mml.ByPdf.M

nlPr, nlPr, pdf

Methods inherited from class mml.UPModel.M

asGiven, asGiven, stats, stats

Methods inherited from class mml.Model

asEstimator, asUPModel, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, pr, 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

MM

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

Note, msg1=0 and statistical parameter sp=triv, checked.

Method Detail

nlPdf

public double nlPdf(Value xs)

R_D.M.this.nlPdf(f.apply(v)) + f.nlJ(v). The last term "adjusts" the datum's AoM.

Specified by:

nlPdf in interface HasPdf

Specified by:

nlPdf in class ByPdf.M

nlLH

public double nlLH(Value ss)

Use the enclosing R_D.M.this's nlLH(ss) but statistics 'ss' come from R_D.M.Transform.stats(la.maths.Vector, int, int).

Specified by:

nlLH in class Model

random_x

public double[] random_x()

Requires 'f' to have an implemented inverse to work. Sample with the enclosing R_D.M.this's random_x() and apply f's inverse.

Overrides:

random_x in class R_D.M

toString

public java.lang.String toString()

Description copied from class: UPModel.M

Return a String representation of 'this' fully parameterised Model. The result includes the enclosing UnParameterised Model, with its problem defining parameters, and 'this' M-Model's statistical parameter(s).

Overrides:

toString in class UPModel.M