plot.semiparMF

Plots the Mean Squared Prediction Error (MSPE) across iterations.

Fits a semiparametric spatiotemporal model for data with mixed frequencies,
specifically where the response variable is observed at a lower frequency than some covariates.
The estimation uses an iterative backfitting algorithm that combines a non-parametric smoothing spline
for high-frequency data, parametric estimation for low-frequency and spatial neighborhood effects,
and an autoregressive error structure. Methodology based on Malabanan, Lansangan, and Barrios (2022)
<https://scienggj.org/2022/SciEnggJ%202022-vol15-no02-p90-107-Malabanan%20et%20al.pdf>.

Jezzu Morrisen Quimosing

SemiparMF

Semiparametric Spatiotemporal Model with Mixed Frequencies

plot.semiparMF function

<dl><dt>x</dt>
<dd>An object of class <code>semiparMF</code>.</dd>
<dt>...</dt>
<dd>Additional graphical parameters.</dd></dl>

Arguments

Plot Convergence History — plot.semiparMF

<dl>

<dt>x</dt>
<dd>An object of class <code>semiparMF</code>.</dd>


<dt>...</dt>
<dd>Additional graphical parameters.</dd>

</dl>

plot.semiparMF: Plot Convergence History

Description

Usage

Value

Arguments