geeCRT: geeCRT: a package for implementing the bias-corrected...
In geeCRT: Bias-Corrected GEE for Cluster Randomized Trials
geeCRT R Documentation
geeCRT: a package for implementing the bias-corrected generalized estimating equations in analyzing cluster randomized trials
Description
geeCRT: a package for implementing the bias-corrected generalized estimating equations in analyzing cluster randomized trials
geeCRT functions
The simbinPROBIT function performs correlated binary outcome data simulation using the multivariate probit method
The simbinCLF function performs correlated binary outcome data simulation using the conditional linear family method
The cpgeeSWD function performs cluster-period generalized estimating equations for estimating the marginal mean and correlation parameters in cross-sectional stepped wedge cluster randomized trials
The geemaee function performs matrix-adjusted generalized estimating equations on estimating the marginal mean and correlation parameters in cluster randomized trials
Author(s)
Maintainer: Hengshi Yu hengshi@umich.edu
Authors:
Fan Li fan.f.li@yale.edu
Paul Rathouz paul.rathouz@austin.utexas.edu
Elizabeth L. Turner liz.turner@duke.edu
John Preisser jpreisse@bios.unc.edu
geeCRT documentation built on June 22, 2024, 10:46 a.m.
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| geeCRT | R Documentation |
geeCRT: a package for implementing the bias-corrected generalized estimating equations in analyzing cluster randomized trials
Description
geeCRT: a package for implementing the bias-corrected generalized estimating equations in analyzing cluster randomized trials
geeCRT functions
The simbinPROBIT function performs correlated binary outcome data simulation using the multivariate probit method The simbinCLF function performs correlated binary outcome data simulation using the conditional linear family method The cpgeeSWD function performs cluster-period generalized estimating equations for estimating the marginal mean and correlation parameters in cross-sectional stepped wedge cluster randomized trials The geemaee function performs matrix-adjusted generalized estimating equations on estimating the marginal mean and correlation parameters in cluster randomized trials
Author(s)
Maintainer: Hengshi Yu hengshi@umich.edu
Authors:
Fan Li fan.f.li@yale.edu
Paul Rathouz paul.rathouz@austin.utexas.edu
Elizabeth L. Turner liz.turner@duke.edu
John Preisser jpreisse@bios.unc.edu
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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