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pprof  

Modeling, Standardization and Testing for Provider Profiling
View on CRAN: Click here


Download and install pprof package within the R console
Install from CRAN:
install.packages("pprof")

Install from Github:
library("remotes")
install_github("cran/pprof")

Install by package version:
library("remotes")
install_version("pprof", "1.0.1")



Attach the package and use:
library("pprof")
Maintained by
Xiaohan Liu
[Scholar Profile | Author Map]
First Published: 2024-12-12
Latest Update: 2024-12-12
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>.
How to cite:
Xiaohan Liu (2024). pprof: Modeling, Standardization and Testing for Provider Profiling. R package version 1.0.1, https://cran.r-project.org/web/packages/pprof. Accessed 17 Feb. 2025.
Previous versions and publish date:
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Other packages that cited pprof R package
View pprof citation profile
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Complete documentation for pprof
Functions, R codes and Examples using the pprof R package
Full pprof package functions and examples
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