sMulti.Rd
Cpp function: fitting sparse multinomial regression.
sMulti(X, y, lambda, R, alpha, beta_max)
X | input matrix for sparse multinomial regression(n*p). |
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y | response data for sparse multinomial regression(n*K). |
lambda | A vector of penalty parameters lambda (p*1). |
R | A vector of weighted parameters for each sample(n*1). |
alpha | A number of penalty parameters alpha. |
beta_max | A number of maximal number of fitted coefficients. |
A matrix of fitted coefficients.