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CrossCarry  

Analysis of Data from a Crossover Design with GEE
View on CRAN: Click here


Download and install CrossCarry package within the R console
Install from CRAN:
install.packages("CrossCarry")

Install from Github:
library("remotes")
install_github("cran/CrossCarry")

Install by package version:
library("remotes")
install_version("CrossCarry", "0.4.0")



Attach the package and use:
library("CrossCarry")
Maintained by
Nelson Alirio Cruz Gutierrez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-11
Latest Update: 2023-04-11
Description:
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". . 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". and c) Cruz N.A., Melo O.O., Martinez C.A. (2023). "Semiparametric generalized estimating equations for repeated measurements in cross-over designs". .
How to cite:
Nelson Alirio Cruz Gutierrez (2023). CrossCarry: Analysis of Data from a Crossover Design with GEE. R package version 0.4.0, https://cran.r-project.org/web/packages/CrossCarry. Accessed 12 Nov. 2024.
Previous versions and publish date:
0.1.0 (2023-04-11 10:00), 0.2.0 (2024-06-18 09:50), 0.3.0 (2024-08-29 09:20)
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Complete documentation for CrossCarry
Functions, R codes and Examples using the CrossCarry R package
Full CrossCarry package functions and examples
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