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]

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stfit_0.99.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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 287 downloads 22 exports 60 dependencies

Last updated from:d07d0e874a. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK207
linux-devel-x86_64OK211
source / vignettesOK200
linux-release-arm64OK201
linux-release-x86_64OK255
macos-release-arm64OK221
macos-release-x86_64OK472
macos-oldrel-arm64OK216
macos-oldrel-x86_64OK345
windows-devel-arm64OK446
windows-devel-x86_64OK257
windows-release-arm64OK427
windows-release-x86_64OK228
windows-oldrel-x86_64OK159
wasm-releaseOK139

Exports:AREepangetMissingLayerslandsatVislc_cov_1dlc_cov_1d_estllreglpregmeanEstNMSEopts_stfitoutlierpctMissingrmOutlierRMSEseffEstsmooth_splinespregstfit_landsatteffEstweightMatrixweightVector

Dependencies:abindashbitopscliclustercodetoolscolorspacecpp11deldirdeSolvedoParallelfarverfdafdsFNNforeachggplot2gluegtablehdrcdehexbininterpisobanditeratorsjpegkernlabKernSmoothkslabelinglatticelatticeExtralifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpngpracmaR6rainbowrasterrasterVisRColorBrewerRcppRcppEigenRCurlrlangS7scalesspterravctrsviridisLitewithrzoo