quadrupen 0.2-9
- Adaptation due to new Matrix version 1.4-2
- fix for HTML5 in documentation
quadrupen 0.2-8 (2020-11-04)
Minor:
+ Avoid warning in C++ to pass CRAN checks, thanks to a PR of Dirk Eddelbuettel <edd@debian.org>
+ Minors changes in examples, default mc.cores to 2
quadrupen 0.2-7 (2019-08-27)
Minor:
+ change sort(, 1) to sort(, "descend") in C++ code to avoid warnings during checks
quadrupen 0.2-6 (2018-04-30)
Minor:
+ change & to && in C++ code to avoid warnings during checks
quadrupen 0.2-5 (2017-03-06)
Minor:
+ change "package = " to "PACKAGE = "
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 0.2-3 (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:
+ added bounded regression (regression penalized by infinity norm + structered l2 norm)
+ added corresponding functionalies for cross-validation and stability path
Minor:
+ 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" parametrization
+ 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.