Class ExplicitImplicitModelPCA.Result
- java.lang.Object
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- dev.nm.stat.factor.implicitmodelpca.ExplicitImplicitModelPCA.Result
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- Enclosing class:
- ExplicitImplicitModelPCA
public static class ExplicitImplicitModelPCA.Result extends Object
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description Vector
b(int n)
Gets the implicit factor loading for the n-th subject.Matrix
B()
Gets B, the implicit factor loading matrix.Matrix
E()
Gets E, the residual matrix.Vector
e_t(int t)
Gets the residual of all subject at time t.Vector
f(int t)
Gets the implicit factor values at time t.Matrix
F()
Gets F, the implicit factor value matrix.Matrix
Gamma()
Gets Γ, the explicit factor loading matrix.Vector
R_bar()
Gets R_bar, the average of observations over time per subject.
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Method Detail
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Gamma
public Matrix Gamma()
Gets Γ, the explicit factor loading matrix.- Returns:
- Γ
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R_bar
public Vector R_bar()
Gets R_bar, the average of observations over time per subject.- Returns:
- R_bar
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B
public Matrix B()
Gets B, the implicit factor loading matrix.- Returns:
- B
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F
public Matrix F()
Gets F, the implicit factor value matrix.- Returns:
- F
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E
public Matrix E()
Gets E, the residual matrix.- Returns:
- E
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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
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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
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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
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