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>.
| Version: | 1.0.0 | 
| Depends: | R (≥ 4.0) | 
| Imports: | dplyr, gee, ggplot2, splines, stats, MASS | 
| Suggests: | testthat (≥ 3.0.0) | 
| Published: | 2025-09-11 | 
| DOI: | 10.32614/CRAN.package.CrossCarry | 
| Author: | Nelson Alirio Cruz Gutierrez [aut, cre, cph],
  Oscar Orlando Melo [aut],
  Carlos Alberto Martinez [aut],
  Ricardo Alberich Marti [aut] | 
| Maintainer: | Nelson Alirio Cruz Gutierrez  <nelson-alirio.cruz at uib.es> | 
| License: | GPL (≥ 3) | 
| NeedsCompilation: | no | 
| Citation: | CrossCarry citation info | 
| CRAN checks: | CrossCarry results | 
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