dev.nm.stat.factor.implicitmodelpca

Class ImplicitModelPCA.Result

java.lang.Object

dev.nm.stat.factor.implicitmodelpca.ImplicitModelPCA.Result

Enclosing class:

ImplicitModelPCA

public static class ImplicitModelPCA.Result
extends Object

the regression results

Method Summary

Modifier and Type	Method and Description
Matrix	B() Gets B, the factor loading matrix.
Vector	b(int n) Gets the 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 factor value matrix.
Vector	f(int t) Gets the factor values at time t.
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

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 factor loading matrix.

Returns:

B

F

public Matrix F()

Gets F, the factor value matrix.

Returns:

F

E

public Matrix E()

Gets E, the residual matrix.

Returns:

E

b

public Vector b(int n)

Gets the factor loading for the n-th subject.

Parameters:

n -

Returns:

the factor loading for the n-th subject

f

public Vector f(int t)

Gets the factor values at time t.

Parameters:

t - time starts counting from 1

Returns:

the 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