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TULIP

A Toolbox for Linear Discriminant Analysis with Penalties

v1.0.2 · Jan 4, 2021 · GPL-2

Description

Integrates several popular high-dimensional methods based on Linear Discriminant Analysis (LDA) and provides a comprehensive and user-friendly toolbox for linear, semi-parametric and tensor-variate classification as mentioned in Yuqing Pan, Qing Mai and Xin Zhang (2019) <arXiv:1904.03469>. Functions are included for covariate adjustment, model fitting, cross validation and prediction.

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CRAN Check Status

2 NOTE
12 OK
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r-devel-linux-x86_64-debian-clang NOTE
r-devel-linux-x86_64-debian-gcc NOTE
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
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r-release-windows-x86_64 OK
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NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Yuqing Pan <yuqing.pan@stat.fsu.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Yuqing",
                      family = "Pan",
                      role = c("aut", "cre"),
                      email = "yuqing.pan@stat.fsu.edu"),
               person(given = "Qing",
                      family = "Mai",
                      role = "aut",
                      email = "mai@stat.fsu.edu"),
               person(given = "Xin",
                      family = "Zhang",
                      role = "aut",
                      email = "henry@stat.fsu.edu"))
as necessary.

The Description field contains
  (2019) <arXiv:1904.03469>. Functions are included for covariate
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Yuqing Pan <yuqing.pan@stat.fsu.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Yuqing",
                      family = "Pan",
                      role = c("aut", "cre"),
                      email = "yuqing.pan@stat.fsu.edu"),
               person(given = "Qing",
                      family = "Mai",
                      role = "aut",
                      email = "mai@stat.fsu.edu"),
               person(given = "Xin",
                      family = "Zhang",
                      role = "aut",
                      email = "henry@stat.fsu.edu"))
as necessary.

The Description field contains
  (2019) <arXiv:1904.03469>. Functions are included for covariate
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Yuqing Pan <yuqing.pan@stat.fsu.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Yuqing",
                      family = "Pan",
                      role = c("aut", "cre"),
             
...[truncated]...
,
                      email = "henry@stat.fsu.edu"))
as necessary.

The Description field contains
  (2019) <arXiv:1904.03469>. Functions are included for covariate
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Yuqing Pan <yuqing.pan@stat.fsu.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Yuqing",
                      family = "Pan",
                      role = c("aut", "cre"),
             
...[truncated]...
,
                      email = "henry@stat.fsu.edu"))
as necessary.

The Description field contains
  (2019) <arXiv:1904.03469>. Functions are included for covariate
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Dependency Network

Dependencies Reverse dependencies tensr Matrix MASS glmnet TULIP

Version History

new 1.0.2 Mar 10, 2026
updated 1.0.2 ← 1.0.1 diff Jan 3, 2021
updated 1.0.1 ← 1.0 diff Jun 28, 2020
new 1.0 Apr 8, 2019