Package: SemiparMF 1.0.0

Jezzu Morrisen Quimosing

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>.

Authors:Jezzu Morrisen Quimosing [aut, cre, cph]

SemiparMF_1.0.0.tar.gz
SemiparMF_1.0.0.zip(r-4.7)SemiparMF_1.0.0.zip(r-4.6)SemiparMF_1.0.0.zip(r-4.5)
SemiparMF_1.0.0.tgz(r-4.6-any)SemiparMF_1.0.0.tgz(r-4.5-any)
SemiparMF_1.0.0.tar.gz(r-4.7-any)SemiparMF_1.0.0.tar.gz(r-4.6-any)
SemiparMF_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
SemiparMF/json (API)
NEWS

# Install 'SemiparMF' in R:
install.packages('SemiparMF', repos = c('https://jzeuzs.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jzeuzs/semiparmf/issues

Pkgdown/docs site:https://semiparmf.j3z.dev

On CRAN:

Conda:

mixed-frequency-datasemiparametric-modelsspatiotemporal-modelingstatistics

3.00 score 1 stars 3 scripts 118 downloads 2 exports 18 dependencies

Last updated from:db6585a25e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK117
source / vignettesOK204
linux-release-x86_64OK119
macos-release-arm64OK146
macos-oldrel-arm64OK140
windows-develOK75
windows-releaseOK65
windows-oldrelOK68
wasm-releaseOK110

Exports:semiparMFsimulate_semipar_data

Dependencies:bootclassclassIntDBIdeldire1071KernSmoothlatticeMASSproxyRcpps2sfspspDataspdepunitswk