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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 SemiparMF_1.0.0.tar.gz 61.7 KiB
1.0.0 rolling linux/noble R-4.5 SemiparMF_1.0.0.tar.gz 61.8 KiB
1.0.0 rolling source/ R- SemiparMF_1.0.0.tar.gz 35.0 KiB
1.0.0 latest linux/jammy R-4.5 SemiparMF_1.0.0.tar.gz 61.7 KiB
1.0.0 latest linux/noble R-4.5 SemiparMF_1.0.0.tar.gz 61.8 KiB
1.0.0 latest source/ R- SemiparMF_1.0.0.tar.gz 35.0 KiB
1.0.0 2026-04-26 source/ R- SemiparMF_1.0.0.tar.gz 35.0 KiB
1.0.0 2026-04-23 source/ R- SemiparMF_1.0.0.tar.gz 35.0 KiB
1.0.0 2026-04-09 windows/windows R-4.5 SemiparMF_1.0.0.zip 65.2 KiB

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