Package: latentcor
Type: Package
Title: Fast Computation of Latent Correlations for Mixed Data
Version: 2.0.2
Authors@R: c(
    person(given = "Mingze",
           family = "Huang",
           role = c("aut"),
           email = "mingzehuang@gmail.com",
           comment = c(ORCID = "0000-0003-3919-1564")),
    person(given = "Grace",
           family = "Yoon",
           role = c("aut"),
           email = "gyoon6067@gmail.com",
           comment = c(ORCID = "0000-0003-3263-1352")),
    person(given = "Christian",
           family = "M&uuml;ller",
           role = c("aut"),
           email = "christian.mueller@stat.uni-muenchen.de",
           comment = c(ORCID = "0000-0002-3821-7083")),
    person(given = "Irina",
           family = "Gaynanova",
           role = c("aut", "cre"),
           email = "irinagn@umich.edu",
           comment = c(ORCID = "0000-0002-4116-0268")))
Maintainer: Irina Gaynanova <irinagn@umich.edu>
Description: The first stand-alone R package for computation of latent correlation that takes into account all variable types (continuous/binary/ordinal/zero-inflated),
             comes with an optimized memory footprint, and is computationally efficient, essentially making latent correlation estimation almost as fast as rank-based correlation estimation.
             The estimation is based on latent copula Gaussian models.
             For continuous/binary types, see Fan, J., Liu, H., Ning, Y., and Zou, H. (2017).
             For ternary type, see Quan X., Booth J.G. and Wells M.T. (2018) <doi:10.48550/arXiv.1809.06255>.
             For truncated type or zero-inflated type, see Yoon G., Carroll R.J. and Gaynanova I. (2020) <doi:10.1093/biomet/asaa007>.
             For approximation method of computation, see Yoon G., Müller C.L. and Gaynanova I. (2021) <doi:10.1080/10618600.2021.1882468>. The latter method uses multi-linear interpolation originally implemented in the R package <https://cran.r-project.org/package=chebpol>.
Depends: R (>= 3.0.0)
Imports: stats, pcaPP, fMultivar, mnormt, Matrix, MASS, heatmaply,
        ggplot2, plotly, graphics, geometry, doFuture, foreach, future,
        doRNG, microbenchmark
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
Suggests: rmarkdown, markdown, knitr, testthat (>= 3.0.0), lattice,
        cubature, plot3D, covr
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-11-18 14:52:39 UTC; irinagn
Author: Mingze Huang [aut] (ORCID: <https://orcid.org/0000-0003-3919-1564>),
  Grace Yoon [aut] (ORCID: <https://orcid.org/0000-0003-3263-1352>),
  Christian M&uuml;ller [aut] (ORCID:
    <https://orcid.org/0000-0002-3821-7083>),
  Irina Gaynanova [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-4116-0268>)
Repository: CRAN
Date/Publication: 2025-11-26 14:20:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-12-24 05:08:09 UTC; windows
Archs: x64
