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CrossCarry
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]
[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.
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