min_q_lambda {plde} | R Documentation |
Minimization of the quadratic approximation to objective function
Description
min_q_lambda
function gives the coefficient vector
(sm$coefficients
) updated by the coordinate descent algorithm iteratively
until the quadratic approximation to the objective function convergences.
Usage
min_q_lambda(sm)
Arguments
sm |
List of plde fit |
Author(s)
JungJun Lee, Jae-Hwan Jhong, Young-Rae Cho, SungHwan Kim, Ja-yong Koo
References
JungJun Lee, Jae-Hwan Jhong, Young-Rae Cho, SungHwan Kim and Ja-Yong Koo. "Penalized Log-density Estimation Using Legendre Polynomials." Submitted to Communications in Statistics - Simulation and Computation (2017), in revision.
See Also
[Package plde version 0.1.2 Index]