Package: stfit
Type: Package
Title: Spatio-Temporal Functional Imputation Tool
Version: 0.99.9
Date: 2022-10-17
Authors@R: person("Weicheng", "Zhu", email = "mingsnu@gmail.com", role = c("aut", "cre"))
Description: A general spatiotemporal satellite image imputation method
        based on sparse functional data analytic techniques. The
        imputation method applies and extends the Functional Principal
        Analysis by Conditional Estimation (PACE). The underlying idea
        for the proposed procedure is to impute a missing pixel by
        borrowing information from temporally and spatially contiguous
        pixels based on the best linear unbiased prediction.
BugReports: https://github.com/mingsnu/stfit/issues
License: GPL-3
LazyData: true
Depends: R (>= 3.5.0)
Imports: Rcpp, Matrix, doParallel, foreach, abind, fda, raster,
        rasterVis, RColorBrewer
LinkingTo: Rcpp
Suggests: testthat, dplyr
RoxygenNote: 7.1.0
Encoding: UTF-8
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev make libjpeg-dev
        libpng-dev libproj-dev libsqlite3-dev
Repository: https://mingsnu.r-universe.dev
Date/Publication: 2022-10-17 23:29:01 UTC
RemoteUrl: https://github.com/mingsnu/stfit
RemoteRef: HEAD
RemoteSha: d07d0e874adcbdec92fb01e3a811bd9ded08ad22
NeedsCompilation: yes
Packaged: 2026-10-10 13:26:31 UTC; root
Author: Weicheng Zhu [aut, cre]
Maintainer: Weicheng Zhu <mingsnu@gmail.com>