Nothing
pprof: Modeling, Standardization and Testing for Provider Profiling
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| 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> |
| License | MIT + file LICENSE |
| Version | 1.0.1 |
| URL | https://github.com/UM-KevinHe/pprof |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the pprof package in your browser
Any scripts or data that you put into this service are public.
