In this release, we have deployed the package to CRAN following its standard procedures. The main features of this release include:
-
qrglasso
: This function allows for model quantile regression by adaptively weighted group Lasso.predict
: Generate estimations.plot.qrglasso
: Investigate BIC performance.plot.qrglasso.predict
: Visualize estimations.
-
orthogonize_bspline
: Orthogonalize B-splines using the built-in functionsplines::bs
.
- Added a
plot.qrglasso
function for displaying BIC w.r.t. hyperparameters viaqrglasso
object.
- Added a
plot.qrglasso.predict
function for displaying top k coefficient functions viaqrglasso.predict
object.
- Added a
predict
function for estimating top k coefficient functions viaqrglasso
object - Added a helper function to meet the pre-conditions of
predict
- Added one-dimensional example code in the main function
qrglasso
. - Improved code quality and increased code coverage for the helper function
orthogonize_bspline
.
- Added a helper function to orthogonize B-splines