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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.3 |
rolling linux/jammy R-4.5 | pprof_1.0.3.tar.gz |
1.2 MiB |
1.0.3 |
rolling linux/noble R-4.5 | pprof_1.0.3.tar.gz |
1.2 MiB |
1.0.3 |
rolling source/ R- | pprof_1.0.3.tar.gz |
846.0 KiB |
1.0.3 |
latest linux/jammy R-4.5 | pprof_1.0.3.tar.gz |
1.2 MiB |
1.0.3 |
latest linux/noble R-4.5 | pprof_1.0.3.tar.gz |
1.2 MiB |
1.0.3 |
latest source/ R- | pprof_1.0.3.tar.gz |
846.0 KiB |
1.0.3 |
2026-04-26 source/ R- | pprof_1.0.3.tar.gz |
846.0 KiB |
1.0.3 |
2026-04-23 source/ R- | pprof_1.0.3.tar.gz |
846.0 KiB |
1.0.3 |
2026-04-09 windows/windows R-4.5 | pprof_1.0.3.zip |
1.6 MiB |
1.0.1 |
2025-04-20 source/ R- | pprof_1.0.1.tar.gz |
816.8 KiB |