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CrossCarry (version 1.2.0)

Analysis of Data from a Crossover Design with GEE

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". .

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Version

Install

install.packages('CrossCarry')

Monthly Downloads

329

Version

1.2.0

License

GPL (>= 3)

Maintainer

Nelson Alirio Cruz Gutierrez

Last Published

December 17th, 2025

Functions in CrossCarry (1.2.0)

createCarry

Add carryover dummy variables
Arterial

Arterial pressure data of crossover design
CrossGEEKron

Run a GEE model for data from a crossover experiment with repeated measures
computeqic

Quasi Information Criterion
CrossGEE

Run a GEE model for data from a crossover experiment
CrossGEESP

Run a semi-parametric GEE model for data from a crossover experiment with repeated measures
Water

Water student data of crossover design