optimize_par: Optimize Smoothing Parameters This function optimize searches...
In ungroup: Penalized Composite Link Model for Efficient Estimation of Smooth Distributions from Coarsely Binned Data
optimize_par R Documentation
Optimize Smoothing Parameters
This function optimize searches of lambda, kr and deg.
See control.pclm to see what is their meaning.
The optimization process works in steps. Simultaneous optimization was
tested and found inefficient.
Description
Optimize Smoothing Parameters
This function optimize searches of lambda, kr and deg.
See control.pclm to see what is their meaning.
The optimization process works in steps. Simultaneous optimization was
tested and found inefficient.
Usage
optimize_par(I, type)
Arguments
I
Input object from pclm function
type
Type of PCLM model. Options: "1D", "2D" for
univariate and two-dimensional model respectively.
ungroup documentation built on May 29, 2024, 11:55 a.m.
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| optimize_par | R Documentation |
Optimize Smoothing Parameters
This function optimize searches of lambda, kr and deg.
See control.pclm to see what is their meaning.
The optimization process works in steps. Simultaneous optimization was
tested and found inefficient.
Description
Optimize Smoothing Parameters
This function optimize searches of lambda, kr and deg.
See control.pclm to see what is their meaning.
The optimization process works in steps. Simultaneous optimization was
tested and found inefficient.
Usage
optimize_par(I, type)
Arguments
I |
Input object from pclm function |
type |
Type of PCLM model. Options: |
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.
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