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: 0.2.0
Depends: R (≥ 4.0)
Imports: dplyr, gee, geepack, ggplot2, splines, stats
Suggests: testthat (≥ 3.0.0)
Published: 2024-06-18
DOI: 10.32614/CRAN.package.CrossCarry
Author: Nelson Alirio Cruz Gutierrez [aut, cre, cph], Oscar Orlando Melo [aut], Carlos Alberto Martinez [aut]
Maintainer: Nelson Alirio Cruz Gutierrez <neacruzgu at>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: CrossCarry citation info
CRAN checks: CrossCarry results


Reference manual: CrossCarry.pdf


Package source: CrossCarry_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CrossCarry_0.2.0.tgz, r-oldrel (arm64): CrossCarry_0.2.0.tgz, r-release (x86_64): CrossCarry_0.2.0.tgz, r-oldrel (x86_64): CrossCarry_0.2.0.tgz
Old sources: CrossCarry archive


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