topsa: Topological Sensitivity Analysis

Estimate geometric sensitivity indices reconstructing the embedding manifold of the data. The reconstruction is done via a Vietoris Rips with a fixed radius. With the homology of order 2 we estimate symmetric reflections of the those manifold to determine a sensitivity index on of the input model. Detailed information of the methods can be found in <> (WIP preprint).

Version: 0.1.0
Depends: R (≥ 3.6.0)
Imports: ggplot2, scales, sf, TDA, parallel, methods
Suggests: testthat (≥ 2.1.0)
Published: 2020-09-24
Author: Maikol Solís [aut, cre], Alberto Hernández [ctb], Ronald A. Zuñiga-Rojas [ctb], Carlos Pasquier [ctb]
Maintainer: Maikol Solís <maikol.solis at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: topsa results


Reference manual: topsa.pdf
Package source: topsa_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: topsa_0.1.0.tgz, r-oldrel: topsa_0.1.0.tgz


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