# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "ptLasso" in publications use:' type: software license: GPL-2.0-only title: 'ptLasso: Pretraining the Lasso' version: 1.0.2 doi: 10.1093/jrsssb/qkaf050 identifiers: - type: url value: https://doi.org/10.1093/jrsssb/qkaf050 abstract: Implements lasso pretraining for generalized linear models for data with grouped observations; data without grouped observations, but with multinomial responses; data with multiple Gaussian responses; and data with repeated measurements over time. The method fits a lasso model to an initial dataset and then uses its support and coefficient values to guide model fitting for a related task, which can improve performance by leveraging larger datasets and preserve interpretability by identifying features which are generally shared, and which are task specific. See Craig et al. (2026) for details. Model fitting in this package is done with cv.glmnet() from the 'glmnet' package, and syntax closely follows that of 'glmnet' (Friedman, Hastie and Tibshirani (2010) ). authors: - family-names: Craig given-names: Erin email: ercr@umich.edu orcid: https://orcid.org/0000-0002-4893-6671 - family-names: Tibshirani given-names: Rob preferred-citation: type: article title: Pretraining and the lasso authors: - family-names: Craig given-names: Erin email: ercr@umich.edu orcid: https://orcid.org/0000-0002-4893-6671 - family-names: Pilanci given-names: Mert - family-names: Le Menestrel given-names: Thomas - family-names: Narasimhan given-names: Balasubramanian - family-names: Rivas given-names: Manuel A - family-names: Gullaksen given-names: Stein-Erik - family-names: Dehghannasiri given-names: Roozbeh - family-names: Salzman given-names: Julia - family-names: Taylor given-names: Jonathan - family-names: Tibshirani given-names: Robert journal: 'Journal of the Royal Statistical Society: Series B (Statistical Methodology)' year: '2025' doi: 10.1093/jrsssb/qkaf050 url: https://doi.org/10.1093/jrsssb/qkaf050 start: qkaf050 repository: https://cran.r-universe.dev repository-code: https://github.com/erincr/ptLasso commit: 9261ccbc1b9aa0e87a5d65d45e98ef5ebffe974d url: https://erincr.github.io/ptLasso/ date-released: '2026-10-27' contact: - family-names: Craig given-names: Erin email: ercr@umich.edu orcid: https://orcid.org/0000-0002-4893-6671 references: - type: manual title: 'ptLasso: Pretraining and the lasso in R' authors: - family-names: Craig given-names: Erin - family-names: Tibshirani given-names: Robert year: '2025' notes: R package version 1.0.2 url: https://erincr.github.io/ptLasso/