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NEWS/Changelog
quadrupen 1.0-0 (2026-06-05)
- major updates
- complete rewriting of R code using R6 classes
- complete rewriting of C++ code using template and OO style
programming
- included ‘FusedLasso’ from the archived package by Holger Hoefling
(fixed CRAN’s complaints)
- added group-lasso/group-elastic and variants (group penalty: l1/l2,
l1/linf, cooperative Lasso)
- added sparse group-lasso/group-elastic and variant (group penalty:
l1/l2, l1/linf, cooperative Lasso)
- added lava and/post-lava (combination of sparse and dense
regularization, Chernozukov et al, 2017)
- extended to group-lava (group penalty: l1/l2, l1/linf, cooperative
Lasso)
- added mcp and scad (concave penalties, Chernozukov et al, 2017)
- added refit version of Lasso/Elastic-Net (“relaxed” Lasso/Enet)
- changing many parameters (badly) named, do not expect backward
compatibility
- added vignettes
- minor updates
- Integration of changes from CRAN versions from 0.2-4 to 0.2-13
- set up github workflow for pkgdown page
- various fixes, more testing
quadrupen 0.2-4 (2014-01-16)
Minor: - memory leak corrected (sp_mat declaration) - linking to
Rcpp/RcppArmadillo headers (requires R 3.0-2)
quadrupen 0.2-4 (2013-11-01)
- added a ‘lasso’ function, simple wrapper to the elastic-net
‘function’
- added computation of degrees of freedom (for elastic net and bounded
regression)
- added a method to compute penalized criteria (BIC/AIC) of a
quadrupen fit, with plot
0.2-3 (2013-08-26)
- added back the ‘normalize’ parameter
- standardization is performed within the C++ code
- use of sparse conversion from Matrix to Armadillo
- corrected bug with the ‘intercept’ and ‘residuals’ components of the
quadrupen class
- added more tests in the inst directory
- correction in the documentation
- added r.squared to the quadrupen class
quadrupen 0.2-2 (2013-04-08)
- minor fix to comply with recent ggplot2 updates.
quadrupen 0.2-1 (2013-02-27)
- minor fix to pass CRAN check on Windows operating systems.
quadrupen 0.2-0 (2013-02-26)
- Major updates
- added bounded regression (regression penalized by infinity norm +
structured l2 norm)
- added corresponding features for cross-validation and stability
path
- Minor updates
- corrected wrong annotations of the stability path (PFER)
- handled normalization internally (‘normalize’ is no longer a
parameter)
- more simple internal handling of penscales and correction of the
rescaling of the intercept
- better use of multicore features
- handled runtime error exception in RcppArmadillo when the system is
singular (end of the solution path) A consequence is quadrupen is less
likely to crash due to user’s “bad” parametrisation
- simplification of the C++ code, bugs corrected, probably new ones
added :-’(
- added ‘examples’ and ‘tests’ directories
quadrupen 0.1-0 (2012-10-09)
- first build: structured elastic-net with (weighted) quadratic loss,
cross-validation and stability selection methods.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.