RegCalib
Regression Calibration for Measurement Error Correction
Corrects for measurement error in continuous exposures and covariates using regression calibration methods. Provides corrected coefficients, standard errors, p-values, confidence intervals, and variance-covariance matrices for linear and generalized linear outcome models under an external validation study design. Implements the deattenuation factor method (RegCalibDF) and the substitution approach (RegCalibSub). Supports single and multiple error-prone exposures.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | RegCalib_0.1.0.tar.gz |
1023.7 KiB |
0.1.0 |
rolling linux/noble R-4.5 | RegCalib_0.1.0.tar.gz |
1023.6 KiB |
0.1.0 |
rolling source/ R- | RegCalib_0.1.0.tar.gz |
977.6 KiB |
0.1.0 |
latest linux/jammy R-4.5 | RegCalib_0.1.0.tar.gz |
1023.7 KiB |
0.1.0 |
latest linux/noble R-4.5 | RegCalib_0.1.0.tar.gz |
1023.6 KiB |
0.1.0 |
latest source/ R- | RegCalib_0.1.0.tar.gz |
977.6 KiB |
0.1.0 |
2026-04-23 source/ R- | RegCalib_0.1.0.tar.gz |
0 B |