Package: stfit 0.99.9

stfit: Spatio-Temporal Functional Imputation Tool

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.

Authors:Weicheng Zhu [aut, cre]

stfit_0.99.9.tar.gz
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stfit_0.99.9.tgz(r-4.6-x86_64)stfit_0.99.9.tgz(r-4.6-arm64)stfit_0.99.9.tgz(r-4.5-x86_64)stfit_0.99.9.tgz(r-4.5-arm64)
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stfit_0.99.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
stfit/json (API)

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

Bug tracker:https://github.com/mingsnu/stfit/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

2.61 score 41 scripts 212 downloads 22 exports 60 dependencies

Last updated from:d07d0e874a. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK241
linux-devel-x86_64OK257
source / vignettesOK220
linux-release-arm64OK239
linux-release-x86_64OK249
macos-release-arm64OK208
macos-release-x86_64OK682
macos-oldrel-arm64OK220
macos-oldrel-x86_64OK550
windows-develOK278
windows-releaseOK252
windows-oldrelOK227
wasm-releaseOK138

Exports:AREepangetMissingLayerslandsatVislc_cov_1dlc_cov_1d_estllreglpregmeanEstNMSEopts_stfitoutlierpctMissingrmOutlierRMSEseffEstsmooth_splinespregstfit_landsatteffEstweightMatrixweightVector

Dependencies:abindashbitopscliclustercodetoolscolorspacecpp11deldirdeSolvedoParallelfarverfdafdsFNNforeachggplot2gluegtablehdrcdehexbininterpisobanditeratorsjpegkernlabKernSmoothkslabelinglatticelatticeExtralifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpngpracmaR6rainbowrasterrasterVisRColorBrewerRcppRcppEigenRCurlrlangS7scalesspterravctrsviridisLitewithrzoo