Package: latentcor
Type: Package
Title: Fast Computation of Latent Correlations for Mixed Data
Version: 1.2.0
Authors@R: c(
    person(given = "Mingze",
           family = "Huang",
           role = c("aut", "cre"),
           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"),
           email = "irinag@stat.tamu.edu",
           comment = c(ORCID = "0000-0002-4116-0268")))
Maintainer: Mingze Huang <mingzehuang@gmail.com>
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) <doi:10.1111/rssb.12168>.
             For ternary type, see Quan X., Booth J.G. and Wells M.T. (2018) <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>.
Depends: R (>= 3.0.0)
Imports: stats, pcaPP, fMultivar, mnormt, chebpol, Matrix, MASS,
        heatmaply, ggplot2, plotly, graphics
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.2
Suggests: microbenchmark, rmarkdown, markdown, knitr, testthat (>=
        3.0.0), covr
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-10-30 22:33:21 UTC; mingz
Author: Mingze Huang [aut, cre] (<https://orcid.org/0000-0003-3919-1564>),
  Grace Yoon [aut] (<https://orcid.org/0000-0003-3263-1352>),
  Christian M&uuml;ller [aut] (<https://orcid.org/0000-0002-3821-7083>),
  Irina Gaynanova [aut] (<https://orcid.org/0000-0002-4116-0268>)
Repository: CRAN
Date/Publication: 2021-10-31 05:30:08 UTC
Built: R 4.0.5; ; 2022-04-18 07:38:22 UTC; windows
