CrossCarry: Analysis of Data from a Crossover Design with GEE (original) (raw)
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: | 0.4.0 |
|---|---|
| Depends: | R (≥ 4.0) |
| Imports: | dplyr, gee, ggplot2, splines, stats, MASS |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2024-09-24 |
| 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 <nelson-alirio.cruz at uib.es> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | CrossCarry citation info |
| CRAN checks: | CrossCarry results |
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