Implements a geographically weighted non-negative principal components analysis, which consists of the fusion of geographically weighted and sparse non-negative principal components analyses <doi:10.17608/k6.auckland.9850826.v1>.
Version: 0.0.5 Depends: R (≥ 3.5.0) Imports: geodist, methods, nsprcomp, sf Suggests: testthat (≥ 3.0.0) Published: 2025-02-05 DOI: 10.32614/CRAN.package.GWnnegPCA Author: Narumasa Tsutsumida [aut, cre] Maintainer: Narumasa Tsutsumida <rsnaru.jp at gmail.com> BugReports: https://github.com/naru-T/GWnnegPCA/issues License: GPL (≥ 3) URL: https://github.com/naru-T/GWnnegPCA NeedsCompilation: no SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0) Language: en-US Materials: README CRAN checks: GWnnegPCA results Documentation: Reference manual: GWnnegPCA.pdf Downloads: Package source: GWnnegPCA_0.0.5.tar.gz Windows binaries: r-devel: GWnnegPCA_0.0.5.zip, r-release: GWnnegPCA_0.0.5.zip, r-oldrel: GWnnegPCA_0.0.5.zip macOS binaries: r-release (arm64): GWnnegPCA_0.0.5.tgz, r-oldrel (arm64): GWnnegPCA_0.0.5.tgz, r-release (x86_64): GWnnegPCA_0.0.5.tgz, r-oldrel (x86_64): GWnnegPCA_0.0.5.tgz Old sources: GWnnegPCA archive Linking:Please use the canonical form https://CRAN.R-project.org/package=GWnnegPCA to link to this page.
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