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>.

Version: 1.0.0
Imports: graphics, sf, spdep, stats, utils
Suggests: testthat (≥ 3.0.0)
Published: 2026-02-03
DOI: 10.32614/CRAN.package.SemiparMF
Author: Jezzu Morrisen Quimosing ORCID iD [aut, cre, cph]
Maintainer: Jezzu Morrisen Quimosing <mail at j3z.dev>
BugReports: https://github.com/jzeuzs/SemiparMF/issues
License: MIT + file LICENSE
URL: https://github.com/jzeuzs/SemiparMF, https://semiparmf.j3z.dev
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: SemiparMF results

Documentation:

Reference manual: SemiparMF.html , SemiparMF.pdf

Downloads:

Package source: SemiparMF_1.0.0.tar.gz
Windows binaries: r-devel: SemiparMF_1.0.0.zip, r-release: SemiparMF_1.0.0.zip, r-oldrel: SemiparMF_1.0.0.zip
macOS binaries: r-release (arm64): SemiparMF_1.0.0.tgz, r-oldrel (arm64): SemiparMF_1.0.0.tgz, r-release (x86_64): SemiparMF_1.0.0.tgz, r-oldrel (x86_64): SemiparMF_1.0.0.tgz

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