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Experimental crossover designs are widely used in medicine, agriculture, andother areas of the biological sciences. Due to the characteristics of thecrossover design, each experimental unit has longitudinal observations and thepresence of drag effects on the response variable. There is no package in {R}that clearly models data from crossover designs. The {CrossCarry} packagepresented in this paper allows testing any crossover design as long as theobserved response variable belongs to the exponential family, regardless ofwhether or not there is a washout period. It also allows modeling repeatedmeasurements within each period and extends the correlation structures used inthe generalized estimating equations. The family of correlation structures isbuilt that takes into account the particularities of the design, that is, thecorrelation between and within the periods. It also includes a parametriccomponent for modeling treatment effects and a non-parametric component formodeling time effects and carry-over effects. The non-parametric component isestimated from splines inserted into the generalized estimation equations.

CrossCarry: An R package for the analysis of data from a crossover design with GEE