class Regression_F extends AnyRef
The Regression_F class performs functional linear regression.
y = b0 + b1 * x(t) + ε
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Instance Constructors
- new Regression_F(y: VectorD, x: VectorD, t: VectorD, τ: VectorD, ord: Int = 4)
- y
the response vector
- x
the covariate vector - treated as functional
- t
the time vector
- τ
the knot vector
- ord
the order (degree+1) of the B-Splines (2 to 6)
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- def predict(tt: Double): Double
Predict the y-value at time point 'tt'.
Predict the y-value at time point 'tt'.
- tt
the given time point
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- def train(): VectoD
Train the model using the smoothed data to find the regression coefficients 'b'.
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