q_lambda: Compute quadratic approximation objective function
In plde: Penalized Log-Density Estimation Using Legendre Polynomials
Description
Usage
Arguments
Author(s)
References
Description
q_lambda function computes
quadratic approximation of the objective function.
Usage
1
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.
plde documentation built on May 1, 2019, 7:46 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Author(s) References
Description
q_lambda function computes
quadratic approximation of the objective function.
Usage
1 | 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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.