mml

Class Continuous.M.Transform.MM

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.ByPdf.M

mml.Continuous.M

mml.Continuous.M.Transform.MM

All Implemented Interfaces:

java.lang.Comparable<Value>, HasPdf

Enclosing class:

Continuous.M.Transform

public class Continuous.M.Transform.MM
extends Continuous.M

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

Nested Class Summary

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

Continuous.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 Continuous.M.this's nlLH(ss) but statistics 'ss' come from Continuous.M.Transform.stats(la.maths.Vector, int, int).
double	nlPdf_x(double x) M.nlPdf_x(f(x)) − log(|f.d_dx()(x)|), the second term to "correct" the datum's nlAoM.
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.Continuous.M

nlPdf, random_x, random, 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_x

public double nlPdf_x(double x)

M.nlPdf_x(f(x)) − log(|f.d_dx()(x)|), the second term to "correct" the datum's nlAoM.

Specified by:

nlPdf_x in class Continuous.M

nlLH

public double nlLH(Value ss)

Use the enclosing Continuous.M.this's nlLH(ss) but statistics 'ss' come from Continuous.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 Continuous.M.this's random_x() and apply f's inverse.

Overrides:

random_x in class Continuous.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