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". <arXiv:2304.02440v1>. 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: |
0.1.0 |
| Depends: |
R (≥ 4.0) |
| Imports: |
dplyr, gee, geepack, ggplot2, splines, stats |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2023-04-11 |
| Author: |
Nelson Alirio Cruz Gutierrez [aut, cre, cph],
Oscar Orlando Melo [aut],
Carlos Alberto Martinez [aut] |
| Maintainer: |
Nelson Alirio Cruz Gutierrez <neacruzgu at unal.edu.co> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Citation: |
CrossCarry citation info |
| CRAN checks: |
CrossCarry results |
Documentation:
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