-
Notifications
You must be signed in to change notification settings - Fork 8
/
DESCRIPTION
36 lines (36 loc) · 1.43 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
Package: mixedCCA
Type: Package
Title: Sparse Canonical Correlation Analysis for High-Dimensional Mixed Data
Version: 1.6.2
Date: 2022-09-09
Authors@R: c(
person(given = "Grace",
family = "Yoon",
role = c("aut"),
email = "gyoon6067@gmail.com",
comment = c(ORCID = "0000-0003-3263-1352")),
person(given = "Mingze",
family = "Huang",
role = c("ctb"),
email = "mingzehuang@gmail.com",
comment = c(ORCID = "0000-0003-3919-1564")),
person(given = "Irina",
family = "Gaynanova",
role = c("aut", "cre"),
email = "irinag@stat.tamu.edu",
comment = c(ORCID = "0000-0002-4116-0268")))
Maintainer: Irina Gaynanova <irinag@stat.tamu.edu>
Description: Semi-parametric approach for sparse canonical correlation analysis
which can handle mixed data types: continuous, binary and truncated continuous.
Bridge functions are provided to connect Kendall's tau to latent correlation
under the Gaussian copula model. The methods are described in
Yoon, Carroll and Gaynanova (2020) <doi:10.1093/biomet/asaa007> and
Yoon, Mueller and Gaynanova (2021) <doi:10.1080/10618600.2021.1882468>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.1), stats, MASS
Imports: Rcpp, pcaPP, Matrix, fMultivar, mnormt, irlba, latentcor (>= 2.0.1)
NeedsCompilation: yes
RoxygenNote: 7.2.1
LinkingTo: Rcpp, RcppArmadillo
LazyData: true