meuc: Fit Poolwise Regression Models
In vandomed/meuc: Measurement Error and Unmeasured Confounding
Description
Details
Author(s)
References
Description
Functions for implementing corrective methods for measurement error/missing
data/unmeasured confounding. Methods include maximum likelihood, regression
calibration, and propensity score calibration.
Details
Package: meuc
Type: Package
Version: 1.1.1
Date: 2019-02-06
License: GPL-3
Author(s)
Dane R. Van Domelen
vandomed@gmail.com
References
Acknowledgment: This material is based upon work supported by the National
Science Foundation Graduate Research Fellowship under Grant No. DGE-0940903.
vandomed/meuc documentation built on May 12, 2019, 6:17 p.m.
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Description Details Author(s) References
Description
Functions for implementing corrective methods for measurement error/missing data/unmeasured confounding. Methods include maximum likelihood, regression calibration, and propensity score calibration.
Details
| Package: | meuc |
| Type: | Package |
| Version: | 1.1.1 |
| Date: | 2019-02-06 |
| License: | GPL-3 |
Author(s)
Dane R. Van Domelen
vandomed@gmail.com
References
Acknowledgment: This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-0940903.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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