Modifier and Type | Class and Description |
---|---|
class |
Direction.Uniform.M
Mdl should be sufficient for many purposes, but here is
M, the class of fully parameterised Uniform Direction Models. |
Direction.Uniform
R_D.Forest, R_D.ForestSearch, R_D.Independent, R_D.NrmDir, R_D.Transform
UPModel.Est
Function.Native.WithInverse
Function.Cts2Cts, Function.Cts2Cts2Cts, Function.CtsD2CtsD, Function.HasInverse, Function.Native, Function.Native2, Function.Native3
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
Modifier and Type | Field and Description |
---|---|
int |
D
The dimension of RD; see
D() . |
Direction.Uniform.M |
Mdl
The (trivially) fully parameterised
Uniform Model of Directions.
|
Constructor and Description |
---|
Uniform(Value D)
Given dimension, D, construct a Uniform Direction UPModel.
|
Modifier and Type | Method and Description |
---|---|
int |
D()
The dimension of RD; return
D . |
Estimator |
estimator(Value t)
The trivial Estimator that is a Uniform Direction's.
|
Direction.Uniform.M |
sp2Model(double m1,
double m2,
Value t)
sp2Model(0, m2, ()) returns a
M Model . |
Value |
stats(boolean add,
Value ss0,
Value ss1)
Combine sufficient statisticses 'ss0' and 'ss1' additively
(add=true), or remove ss1 from ss0 (add=false).
|
Value |
stats(Vector ds,
int lo,
int hi)
The default sufficient statistics
|
ds2L1stats, ds2NorL1stats, ds2Nstats, transform
public final int D
D()
.public final Direction.Uniform.M Mdl
public Uniform(Value D)
public Direction.Uniform.M sp2Model(double m1, double m2, Value t)
M Model
.public Value stats(Vector ds, int lo, int hi)
Direction.Uniform.M.nlLH(la.la.Value)
.
More on stats here
.public Value stats(boolean add, Value ss0, Value ss1)
UPModel
stats(ds,lo,hi)
.