NEWS

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learner 1.1.0

• Add support for multiple source populations and optional source weights in learner(), dlearner(), and cv.learner().
• Add dat_multisource, an example dataset with one target and two source populations with independently generated noise.
• Add separate row- and column-space penalties in learner() and cross-validation over these penalties in cv.learner().

learner 1.0.0 (2025-03-03)

• Re-implemented most of learner and cv.learner in Rcpp, resulting in significant speed-ups
• Re-ordered matrix computations in dlearner, resulting in significant speed-ups for large matrices
• Fixed a bug in cv.learner when Y_target has missing entries
• Expanded unit testing

learner 0.1.0 (2025-01-08)

• First version released on GitHub (https://github.com/stmcg/learner) and CRAN (https://CRAN.R-project.org/package=learner)