StatPWR contains all the statistics associated to a PWR model.
Logical matrix of dimension (m, K) giving the class vector.
Column matrix of the labels issued from
z_ik. Its elements are
klas(i) = k, k = 1,…,K.
Approximation of the time series given the estimated
mean_function is a matrix of size (m, 1).
Matrix of size (m, K) giving the values of the estimated polynomial regression components.
Numeric. Value of the objective function.
Method used at the end of the dynamic programming algorithm to compute
statistics based on parameters provided by
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