# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "PAGFL" in publications use:' type: software license: AGPL-3.0-or-later title: 'PAGFL: Joint Estimation of Latent Groups and Group-Specific Coefficients in Panel Data Models' version: 1.1.1 doi: 10.32614/CRAN.package.PAGFL abstract: Latent group structures are a common challenge in panel data analysis. Disregarding group-level heterogeneity can introduce bias. Conversely, estimating individual coefficients for each cross-sectional unit is inefficient and may lead to high uncertainty. This package addresses the issue of unobservable group structures by implementing the pairwise adaptive group fused Lasso (PAGFL) by Mehrabani (2023) . PAGFL identifies latent group structures and group-specific coefficients in a single step. On top of that, we extend the PAGFL to time-varying coefficient functions. authors: - family-names: Haimerl given-names: Paul email: paul.haimerl@econ.au.dk orcid: https://orcid.org/0000-0003-3198-8317 repository: https://paul-haimerl.r-universe.dev repository-code: https://github.com/Paul-Haimerl/PAGFL commit: c975eedb0375831a6f099e123e5ea3e289fba35e url: https://github.com/Paul-Haimerl/PAGFL contact: - family-names: Haimerl given-names: Paul email: paul.haimerl@econ.au.dk orcid: https://orcid.org/0000-0003-3198-8317