dev.nm.stat.factor.implicitmodelpca

Class ExplicitImplicitModelPCA.Result

java.lang.Object

dev.nm.stat.factor.implicitmodelpca.ExplicitImplicitModelPCA.Result

Enclosing class:

ExplicitImplicitModelPCA

public static class ExplicitImplicitModelPCA.Result
extends Object

Method Summary

Modifier and Type	Method and Description
Matrix	B() Gets B, the implicit factor loading matrix.
Vector	b(int n) Gets the implicit factor loading for the n-th subject.
Vector	e_t(int t) Gets the residual of all subject at time t.
Matrix	E() Gets E, the residual matrix.
Matrix	F() Gets F, the implicit factor value matrix.
Vector	f(int t) Gets the implicit factor values at time t.
Matrix	Gamma() Gets Γ, the explicit factor loading matrix.
Vector	R_bar() Gets R_bar, the average of observations over time per subject.

Methods inherited from class java.lang.Object

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

Method Detail

Gamma

public Matrix Gamma()

Gets Γ, the explicit factor loading matrix.

Returns:

Γ

R_bar

public Vector R_bar()

Gets R_bar, the average of observations over time per subject.

Returns:

R_bar

B

public Matrix B()

Gets B, the implicit factor loading matrix.

Returns:

B

F

public Matrix F()

Gets F, the implicit factor value matrix.

Returns:

F

E

public Matrix E()

Gets E, the residual matrix.

Returns:

E

b

public Vector b(int n)

Gets the implicit factor loading for the n-th subject.

Parameters:

n -

Returns:

the implicit factor loading for the n-th subject

f

public Vector f(int t)

Gets the implicit factor values at time t.

Parameters:

t - time starts counting from 1

Returns:

the implicit factor values at time t

e_t

public Vector e_t(int t)

Gets the residual of all subject at time t.

Parameters:

t - time starts counting from 1

Returns:

residual of all subject at time t