Package: pprof
Type: Package
Title: Modeling, Standardization and Testing for Provider Profiling
Version: 1.0.1
Date: 2024-11-18
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) <doi:10.1002/sim.9387>.
License: MIT + file LICENSE
LazyData: true
Imports: Rcpp, RcppParallel, stats, caret, olsrr, pROC, poibin, dplyr,
        ggplot2, Matrix, lme4, magrittr, scales, tibble, rlang
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
RoxygenNote: 7.3.1
URL: https://github.com/UM-KevinHe/pprof
Encoding: UTF-8
SystemRequirements: GNU make
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2024-12-11 16:15:37 UTC; emily
Author: Xiaohan Liu [aut, cre],
  Lingfeng Luo [aut],
  Yubo Shao [aut],
  Xiangeng Fang [aut],
  Wenbo Wu [aut],
  Kevin He [aut]
Maintainer: Xiaohan Liu <xhliuu@umich.edu>
Repository: CRAN
Date/Publication: 2024-12-12 15:10:02 UTC
Built: R 4.5.0; x86_64-apple-darwin20; 2025-01-31 13:08:55 UTC; unix
Archs: pprof.so.dSYM
