msaenet 3.1.2

Improvements

• The coefficient profile plot now has a new default color palette (new Tableau 10). The updated palette offers a more refined and visually appealing look, while also improving accessibility for users with color-vision deficiencies. The color palette is consistency applied across multiple graphical elements in all plot types (#13).
• Added a note in the vignette about possible graphical parameters for labeling the selected variables supported by the plotting methods (thanks, @xingxingyanjing, #12).
• Simplified and optimized vignette and readme plotting chunk options (#14).
• Fixed typos and improved text style in documentation (#14).

msaenet 3.1.1

Improvements

• Use a proper, three-component version number following Semantic Versioning.
• Fix warnings about single lambda (#11).
• Fix "lost braces" check notes on r-devel and check notes about LazyData.
• Fix code linting issues.
• Use GitHub Actions to build the pkgdown site.

msaenet 3.1

Improvements

• Added detailed signal-to-noise ratio (SNR) definition in msaenet.sim.gaussian().
• Updated the example code in the vignette to make it work better with the most recent version of glmnet (2.0-16).
• Updated GitHub repository links due to the handle change.
• Updated the vignette style.

msaenet 3.0

New Features

• Added a new argument penalty.factor.init to support customized penalty factor applied to each coefficient in the initial estimation step. This is useful for incorporating prior information about variable weights, for example, emphasizing specific clinical variables. We thank Xin Wang from University of Michigan for this feedback [#4].

msaenet 2.9

Improvements

• New URL for the documentation website: https://nanx.me/msaenet/.

msaenet 2.8

New Features

• Added a Cleveland dot plot option type = "dotplot" in plot.msaenet(). This plot offers a direct visualization of the model coefficients at the optimal step.

msaenet 2.7

Bug Fixes

• Fixed the missing arguments issue when init = "ridge".

msaenet 2.6

Improvements

• Added two arguments lower.limits and upper.limits to support coefficient constraints in aenet() and msaenet() [#1].

msaenet 2.5

Improvements

• Better code indentation style.
• Update gallery images in README.md.

msaenet 2.4

Improvements

• Improved graphical details for coefficient path plots, following the general graphic style in the ESL (The Elements of Statistical Learning) book.
• More options available in plot.msaenet() for extra flexibility: it is now possible to set important properties of the label appearance such as position, offset, font size, and axis titles via the new arguments label.pos, label.offset, label.cex, xlab, and ylab.