CrossCarry
Analysis of Data from a Crossover Design with GEE
Analyze data from a crossover design using generalized estimation equations (GEE), including carryover effects and various correlation structures based on the Kronecker product. It contains functions for semiparametric estimates of carry-over effects in repeated measures and allows estimation of complex carry-over effects. Related work includes: a) Cruz N.A., Melo O.O., Martinez C.A. (2023). "CrossCarry: An R package for the analysis of data from a crossover design with GEE". doi:10.48550/arXiv.2304.02440. b) Cruz N.A., Melo O.O., Martinez C.A. (2023). "A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures". doi:10.1007/s00362-022-01391-z and c) Cruz N.A., Melo O.O., Martinez C.A. (2023). "Semiparametric generalized estimating equations for repeated measurements in cross-over designs". doi:10.1177/09622802231158736.
- Version0.4.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release09/24/2024
Team
Nelson Alirio Cruz Gutierrez
Oscar Orlando Melo
Show author detailsRolesAuthorCarlos Alberto Martinez
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- Imports4 packages
- Suggests1 package