Package: intRinsic
Title: Likelihood-Based Intrinsic Dimension Estimators
Version: 0.2.0
Authors@R: c(
    person("Francesco", "Denti", ,"francescodenti.personal@gmail.com", 
    role = c("aut", "cre", "cph"),
    comment = c(ORCID = "0000-0003-2978-4702")),
    person("Andrea", "Gilardi", ,"andrea.gilardi@unimib.it", 
    role = "aut",
    comment = c(ORCID = "0000-0002-9424-7439"))
  )
Maintainer: Francesco Denti <francescodenti.personal@gmail.com>
Description: 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. References: 
    Allegra et al. (2020, <doi:10.1038/s41598-020-72222-0>); 
    Denti et al. (2022+, <arXiv:2104.13832>);
    Facco et al. (2017, <doi:10.1038/s41598-017-11873-y>); 
    Santos-Fernandez et al. (2021, <arXiv:1902.10459>).
License: MIT + file LICENSE
URL: https://github.com/Fradenti/intRinsic
Depends: R (>= 3.6.0)
Imports: dplyr, FNN, ggplot2, knitr, MCMCpack, pheatmap, Rcpp,
        reshape2, rlang, salso, stats, utils
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
ByteCompile: true
Encoding: UTF-8
RoxygenNote: 7.1.2
Packaged: 2022-01-13 04:50:14 UTC; francescodenti
Author: Francesco Denti [aut, cre, cph]
    (<https://orcid.org/0000-0003-2978-4702>),
  Andrea Gilardi [aut] (<https://orcid.org/0000-0002-9424-7439>)
Repository: CRAN
Date/Publication: 2022-01-13 18:52:42 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-18 04:25:49 UTC; windows
Archs: i386, x64
