compute_fitted: compute_fitted
In plde: Penalized Log-Density Estimation Using Legendre Polynomials
Description
Usage
Arguments
Details
Author(s)
References
See Also
Description
compute_fitted function gives the fitted values
over the input grid points for the fixed tuning parameter λ.
Usage
1
compute_fitted(x, sm)
Arguments
x
grid points
sm
List of plde fit
Details
compute_fitted function computes fitted values of estimates
having support for the given data by scaling back
and change of variable technique. For more details, see Section 3.2
of the reference.
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
plde documentation built on May 1, 2019, 7:46 p.m.
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Description Usage Arguments Details Author(s) References See Also
Description
compute_fitted function gives the fitted values
over the input grid points for the fixed tuning parameter λ.
Usage
1 | compute_fitted(x, sm)
|
Arguments
x |
grid points |
sm |
List of plde fit |
Details
compute_fitted function computes fitted values of estimates
having support for the given data by scaling back
and change of variable technique. For more details, see Section 3.2
of the reference.
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
R Package Documentation
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