The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Provides functions to estimate the intrinsic dimension of a dataset via likelihood-based approaches. Specifically, the package implements the 'TWO-NN' and 'Gride' estimators and the 'Hidalgo' Bayesian mixture model. In addition, the first reference contains an extended vignette on the usage of the 'TWO-NN' and 'Hidalgo' models. References: Denti (2023, <doi:10.18637/jss.v106.i09>); Allegra et al. (2020, <doi:10.1038/s41598-020-72222-0>); Denti et al. (2022, <doi:10.1038/s41598-022-20991-1>); Facco et al. (2017, <doi:10.1038/s41598-017-11873-y>); Santos-Fernandez et al. (2021, <doi:10.1038/s41598-022-20991-1>).
Version: | 1.0.2 |
Depends: | R (≥ 4.2.0) |
Imports: | dplyr, FNN, ggplot2, knitr, latex2exp, Rcpp, reshape2, rlang, salso, stats, utils |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | covr |
Published: | 2024-01-15 |
DOI: | 10.32614/CRAN.package.intRinsic |
Author: | Francesco Denti |
Maintainer: | Francesco Denti <francescodenti.personal at gmail.com> |
BugReports: | https://github.com/fradenti/intRinsic/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/Fradenti/intRinsic |
NeedsCompilation: | yes |
Citation: | intRinsic citation info |
Materials: | README NEWS |
CRAN checks: | intRinsic results |
Reference manual: | intRinsic.pdf |
Package source: | intRinsic_1.0.2.tar.gz |
Windows binaries: | r-devel: intRinsic_1.0.2.zip, r-release: intRinsic_1.0.2.zip, r-oldrel: intRinsic_1.0.2.zip |
macOS binaries: | r-release (arm64): intRinsic_1.0.2.tgz, r-oldrel (arm64): intRinsic_1.0.2.tgz, r-release (x86_64): intRinsic_1.0.2.tgz, r-oldrel (x86_64): intRinsic_1.0.2.tgz |
Old sources: | intRinsic archive |
Please use the canonical form https://CRAN.R-project.org/package=intRinsic to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.