# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "sparsereg" in publications use:' type: software license: GPL-2.0-or-later title: 'sparsereg: Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data' version: '1.2' doi: 10.32614/CRAN.package.sparsereg abstract: 'Sparse modeling provides a mean selecting a small number of non-zero effects from a large possible number of candidate effects. This package includes a suite of methods for sparse modeling: estimation via EM or MCMC, approximate confidence intervals with nominal coverage, and diagnostic and summary plots. The method can implement sparse linear regression and sparse probit regression. Beyond regression analyses, applications include subgroup analysis, particularly for conjoint experiments, and panel data. Future versions will include extensions to models with truncated outcomes, propensity score, and instrumental variable analysis.' authors: - family-names: Ratkovic given-names: Marc email: ratkovic@princeton.edu - family-names: Tingley given-names: Dustin repository: https://ratkovic.r-universe.dev commit: cac952e8477e78f3ae3af6add4afaca32f12add6 date-released: '2016-03-01' contact: - family-names: Ratkovic given-names: Marc email: ratkovic@princeton.edu