Package: pprof Type: Package Title: Modeling, Standardization and Testing for Provider Profiling Version: 1.0.3 Date: 2026-02-08 Authors@R: c( person("Xiaohan", "Liu", email = "xhliuu@umich.edu", role = c("aut", "cre")), person("Lingfeng", "Luo", email = "lfluo@umich.edu", role = "aut"), person("Yubo", "Shao", email = "ybshao@umich.edu ", role = "aut"), person("Xiangeng", "Fang", email = "xgfang@umich.edu", role = "aut"), person("Wenbo", "Wu", email = "Wenbo.Wu@nyulangone.org", role = "aut"), person("Kevin", "He", email = "kevinhe@umich.edu", role = "aut")) Description: 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) . License: MIT + file LICENSE LazyData: true Imports: Rcpp, RcppParallel, stats, caret, olsrr, pROC, poibin, dplyr, ggplot2, Matrix, lme4, magrittr, scales, tibble, rlang, tidyselect, globals LinkingTo: Rcpp, RcppArmadillo, RcppParallel Depends: R (>= 4.1.0) Suggests: knitr, rmarkdown, testthat (>= 3.0.0) RoxygenNote: 7.3.3 URL: https://github.com/UM-KevinHe/pprof BugReports: https://github.com/UM-KevinHe/pprof/issues Encoding: UTF-8 SystemRequirements: GNU make Config/testthat/edition: 3 NeedsCompilation: yes Packaged: 2026-10-29 10:39:42 UTC; root Author: Xiaohan Liu [aut, cre], Lingfeng Luo [aut], Yubo Shao [aut], Xiangeng Fang [aut], Wenbo Wu [aut], Kevin He [aut] Maintainer: Xiaohan Liu Config/pak/sysreqs: make Repository: https://cran.r-universe.dev Date/Publication: 2026-02-10 03:32:20 UTC RemoteUrl: https://github.com/cran/pprof RemoteRef: HEAD RemoteSha: 1efc4040de386900a7eeed222e478b18b77a6ff2