sMulti.RdCpp function: fitting sparse multinomial regression.
sMulti(X, y, lambda, R, alpha, beta_max)
| X | input matrix for sparse multinomial regression(n*p). |
|---|---|
| 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.