Package: Dcurvature 0.0.3

Dcurvature: Discrete Curvature with 'shiny' Explorer

Implements discrete curvature estimation for ordered planar point sequences using circumcenter geometry on consecutive triplets, exposed through compiled C plus plus (C++) code via 'Rcpp' for speed and numerical robustness. The package is useful for objective elbow detection in multivariate workflows, especially principal component analysis (PCA), where selecting the number of retained components can be subjective. It provides a 'shiny' interface that supports upload of raw datasets or explained-variance tables, computes Kaiser-Meyer-Olkin (KMO) sampling-adequacy diagnostics, evaluates individual and cumulative variance curves, and reports curvature- based decision rules (m* and m**) with visual summaries for reproducible component-selection decisions. References: Arney et al. (2001); Axler (2024) <doi:10.1007/978-3-031-41026-0>; Bjorklund (2019) <doi:10.1111/evo.13835>; Burden and Faires (2015); Chang et al. (2023) <https://CRAN.R-project.org/package=shiny>; Christensen (2019); Cui (2020) <doi:10.18637/jss.v040.i08>; Eddelbuettel and Sanderson (2014) <doi:10.1016/j.csda.2013.02.005>; Engelke et al. (2023) <doi:10.1016/j.jseint.2023.04.010>; Gniazdowski (2021) <doi:10.26348/znwwsi.24.35>; Haynes et al. (2017); Jameel and Al-Salami (2023) <doi:10.24086/cuejhss.v7n1y2023.pp121-125>; Jolliffe (2002); Jolliffe and Cadima (2016) <doi:10.1098/rsta.2015.0202>; Kaiser (1974); Lehnert et al. (2019) <doi:10.18637/jss.v089.i12>; Ma and Dai (2011) <doi:10.1093/bib/bbq090>; Milligan (1995); Onumanyi et al. (2022) <doi:10.3390/app12157515>; Park (2010); Revelle (2024) <https://CRAN.R-project.org/package=psych>; Rodionova et al. (2021) <doi:10.1016/j.chemolab.2021.104304>; Sen and Cohen (2025) <doi:10.1177/01466216251344288>; Serneels and Verdonck (2008) <doi:10.1016/j.csda.2007.05.024>; Shi et al. (2021) <doi:10.1186/s13638-021-01910-w>; Shaukat et al. (2016) <doi:10.1515/eko-2016-0014>; Syakur et al. (2018) <doi:10.1088/1757-899X/336/1/012017>; Wickham and Bryan (2023) <https://CRAN.R-project.org/package=readxl>; Wu et al. (2017) <doi:10.1088/1755-1315/61/1/012054>; Youssef et al. (2023) <doi:10.21303/2461-4262.2023.002582>.

Authors:Aquiles Darghan [aut], Jorge Jola [aut, cre]

Dcurvature_0.0.3.tar.gz
Dcurvature_0.0.3.zip(r-4.7)Dcurvature_0.0.3.zip(r-4.6)Dcurvature_0.0.3.zip(r-4.5)
Dcurvature_0.0.3.tgz(r-4.6-x86_64)Dcurvature_0.0.3.tgz(r-4.6-arm64)Dcurvature_0.0.3.tgz(r-4.5-x86_64)Dcurvature_0.0.3.tgz(r-4.5-arm64)
Dcurvature_0.0.3.tar.gz(r-4.7-arm64)Dcurvature_0.0.3.tar.gz(r-4.7-x86_64)Dcurvature_0.0.3.tar.gz(r-4.6-arm64)Dcurvature_0.0.3.tar.gz(r-4.6-x86_64)
Dcurvature_0.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
Dcurvature/json (API)

# Install 'Dcurvature' in R:
install.packages('Dcurvature', repos = c('https://jorgejola-code.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.70 score 3 exports 43 dependencies

Last updated from:f6a94330a7. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK151
linux-devel-x86_64OK122
source / vignettesOK178
linux-release-arm64OK147
linux-release-x86_64OK151
macos-release-arm64OK98
macos-release-x86_64OK402
macos-oldrel-arm64OK90
macos-oldrel-x86_64OK454
windows-develOK104
windows-releaseOK116
windows-oldrelOK90
wasm-releaseOK141

Exports:curvatureload_example_datarun_curvature_app

Dependencies:base64encbslibcachemcellrangerclicommonmarkcpp11crayondigestfastmapfontawesomefsgluehmshtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmemoisemimeotelpillarpkgconfigprettyunitsprogresspromisesR6rappdirsRcppreadxlrematchrlangsassshinysourcetoolstibbleutf8vctrswithrxtable