# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "pprof" in publications use:' type: software license: MIT title: 'pprof: Risk-adjusted Models, Standardized Measure Calculation, Hypothesis Testing and Visualization for Provider Profiling' version: 1.0.1 doi: 10.32614/CRAN.package.pprof abstract: Implements linear and generalized linear models for provider profiling, incorporating both fixed and random effects. For large-scale providers, the linear profiled-based method and the SerBIN method for binary data reduce the computational burden. Provides post-modeling features, such as indirect and direct standardization measures, hypothesis testing, confidence intervals, and post-estimation visualization. For more information, see Wu et al. (2022) . authors: - family-names: Liu given-names: Xiaohan email: xhliuu@umich.edu - family-names: Luo given-names: Lingfeng email: lfluo@umich.edu - family-names: Shao given-names: Yubo email: ybshao@umich.edu - family-names: Fang given-names: Xiangeng email: xgfang@umich.edu - family-names: Wu given-names: Wenbo email: Wenbo.Wu@nyulangone.org - family-names: He given-names: Kevin email: kevinhe@umich.edu repository: https://um-kevinhe.r-universe.dev repository-code: https://github.com/UM-KevinHe/pprof commit: 7b0f6a742e931d19a5195da2fd0a3f9d234ddf12 url: https://github.com/UM-KevinHe/pprof date-released: '2024-11-18' contact: - family-names: Liu given-names: Xiaohan email: xhliuu@umich.edu