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SemiparMF
View on CRAN: Click
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Download and install SemiparMF package within the R console
Install from CRAN:
install.packages("SemiparMF")
Install from Github:
library("remotes")
install_github("cran/SemiparMF") Install by package version:
library("remotes")
install_version("SemiparMF", "1.0.0") Attach the package and use:
library("SemiparMF")
Maintained by
Jezzu Morrisen Quimosing
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First Published: 2026-02-03
Latest Update: 2026-02-03
Description:
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>.
How to cite:
Jezzu Morrisen Quimosing (2026). SemiparMF: Semiparametric Spatiotemporal Model with Mixed Frequencies. R package version 1.0.0, https://cran.r-project.org/web/packages/SemiparMF. Accessed 28 Jul. 2026.
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