SemiparMF: Semiparametric Spatiotemporal Model with Mixed Frequencies
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>.
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