# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "SemiparMF" in publications use:' type: software license: MIT title: 'SemiparMF: Semiparametric Spatiotemporal Model with Mixed Frequencies' version: 1.0.0 doi: 10.32614/CRAN.package.SemiparMF abstract: 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) . authors: - family-names: Quimosing given-names: Jezzu Morrisen email: mail@j3z.dev orcid: https://orcid.org/0009-0001-4302-7946 repository: https://jzeuzs.r-universe.dev repository-code: https://github.com/jzeuzs/SemiparMF commit: db6585a25ee29da64a3f105e9da1850191f6281d url: https://semiparmf.j3z.dev date-released: '2026-01-30' contact: - family-names: Quimosing given-names: Jezzu Morrisen email: mail@j3z.dev orcid: https://orcid.org/0009-0001-4302-7946