CRAN/E | CrossCarry

CrossCarry

Analysis of Data from a Crossover Design with GEE

Installation

About

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". 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.

Citation CrossCarry citation info

Key Metrics

Version 0.1.0
R ≥ 4.0
Published 2023-04-11 388 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks CrossCarry results

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Maintainer

Maintainer

Nelson Alirio Cruz Gutierrez

neacruzgu@unal.edu.co

Authors

Nelson Alirio Cruz Gutierrez

aut / cre / cph

Oscar Orlando Melo

aut

Carlos Alberto Martinez

aut

Material

Reference manual
Package source

macOS

r-devel

arm64

r-release

arm64

r-oldrel

arm64

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 4.0

Imports

dplyr
gee
geepack
ggplot2
splines
stats

Suggests

testthat ≥ 3.0.0