Analysis of Data from a Crossover Design with GEE R package CrossCarry version 1.2.0 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>. Software Depends: R (>= 4.0) Imports: dplyr, gee, ggplot2, splines, stats, MASS Suggests: testthat (>= 3.0.0) Nelson Alirio Cruz Gutierrez <nelson-alirio.cruz@uib.es> Comprehensive R Archive Network (CRAN) Nelson Alirio Cruz Gutierrez [aut, cre, cph], Oscar Orlando Melo [aut], Carlos Alberto Martinez [aut], Ricardo Alberich Marti [aut] GPL (>= 3) 2025-12-17 application/tgz https://CRAN.R-project.org/package=CrossCarry doi:10.32614/CRAN.package.CrossCarry