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DLASSO

Implementation of Adaptive or Non-Adaptive Differentiable Lasso and SCAD Penalties in Linear Models

v2.0.2 · Jun 8, 2017 · GPL (>= 2)

Description

An implementation of the differentiable lasso (dlasso) and SCAD (dSCAD) using iterative ridge algorithm. This package allows selecting the tuning parameter by AIC, BIC, GIC and GIC.

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CRAN incoming feasibility

Maintainer: ‘Hamed Haseli Mashhadi <hamedhaseli@gmail.com>’

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  Authors@R: person(given = c("Hamed", "Haseli"),
                    family = "Mashhadi",
                    role = c("aut", "cre"),
                    email = "hamedhaseli@gmail.com")
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NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Hamed Haseli Mashhadi <hamedhaseli@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Hamed", "Haseli"),
                    family = "Mashhadi",
                    role = c("aut", "cre"),
                    email = "hamedhaseli@gmail.com")
as necessary.

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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: ‘Hamed Haseli Mashhadi <hamedhaseli@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Hamed", "Haseli"),
                    family = "Mashhadi",
                    role = c("aut", "cre"),
                    email = "hamedhaseli@gmail.com")
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Hamed Haseli Mashhadi <hamedhaseli@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Hamed", "Haseli"),
                    family = "Mashhadi",
                    role = c("aut", "cre"),
                    email = "hamedhaseli@gmail.com")
as necessary.

Code

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Dependency Network

Dependencies Reverse dependencies MASS DLASSO

Version History

4 tracked
new 2.0.2 Mar 10, 2026
updated 2.0.2 ← 2.0.1 diff Jun 7, 2017
updated 2.0.1 ← 1.0.0 diff Jun 1, 2017
new 1.0.0 Aug 3, 2016