Package: stfit
Type: Package
Title: Spatio-Temporal Functional Imputation Tool
Version: 0.99.8
Date: 2020-09-29
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
NeedsCompilation: yes
Packaged: 2020-09-30 01:08:11 UTC; Weicheng
Author: Weicheng Zhu [aut, cre]
Maintainer: Weicheng Zhu <mingsnu@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-02 08:30:02 UTC
Built: R 3.6.2; x86_64-apple-darwin15.6.0; 2020-10-03 14:07:16 UTC; unix
Archs: stfit.so.dSYM
