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 (may not be active yet)
Author:	Jezzu Morrisen Quimosing [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: not available, r-release: not available, r-oldrel: not available
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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