RegCalReliab
Regression Calibration Using Reliability Studies
Implements regression calibration methods for correcting measurement error in regression models using external or internal reliability studies. Methods are described in Carroll, Ruppert, Stefanski, and Crainiceanu (2006) "Measurement Error in Nonlinear Models: A Modern Perspective" <doi:10.1201/9781420010138>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | RegCalReliab_0.2.0.tar.gz |
225.5 KiB |
0.2.0 |
rolling linux/noble R-4.5 | RegCalReliab_0.2.0.tar.gz |
225.4 KiB |
0.2.0 |
rolling source/ R- | RegCalReliab_0.2.0.tar.gz |
61.5 KiB |
0.2.0 |
latest linux/jammy R-4.5 | RegCalReliab_0.2.0.tar.gz |
225.5 KiB |
0.2.0 |
latest linux/noble R-4.5 | RegCalReliab_0.2.0.tar.gz |
225.4 KiB |
0.2.0 |
latest source/ R- | RegCalReliab_0.2.0.tar.gz |
61.5 KiB |
0.2.0 |
2026-04-26 source/ R- | RegCalReliab_0.2.0.tar.gz |
61.5 KiB |
0.2.0 |
2026-04-23 source/ R- | RegCalReliab_0.2.0.tar.gz |
61.5 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | RegCalReliab_0.2.0.zip |
230.5 KiB |