createCarry

Create dummy variables associated with first-order
carryover effect in a Crossover Design

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". <doi:10.48550/arXiv.2304.02440>. 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>.

Nelson Alirio Cruz Gutierrez

CrossCarry

Analysis of Data from a Crossover Design with GEE

Oscar Orlando Melo

Carlos Alberto Martinez

Ricardo Alberich Marti

createCarry function

<dl><dt>data</dt>
<dd>A data frame with the variables of
the crossover experimental design</dd>
<dt>treatment</dt>
<dd>A character string specifying the name of vector with the
treatment applied at each observation of the crossover experimental design</dd>
<dt>period</dt>
<dd>A character string specifying the name of vector with the
observation period of the responses of the crossover experimental design</dd>
<dt>id</dt>
<dd>A character string specifying the name of vector which identifies
the experimental units.</dd>
<dt>carrySimple</dt>
<dd><code>TRUE</code> = simple carry-over, where the residual effect of a
treatment affects equally each of the treatments that are preceded by it,
 and <code>FALSE</code> = carry-over complex, where the residual effect of the
 treatment affects each of the other treatments differently.</dd></dl>

Arguments

Add carryover dummy variables — createCarry

<dl>

<dt>data</dt>
<dd>A data frame with the variables of
the crossover experimental design</dd>


<dt>treatment</dt>
<dd>A character string specifying the name of vector with the
treatment applied at each observation of the crossover experimental design</dd>


<dt>period</dt>
<dd>A character string specifying the name of vector with the
observation period of the responses of the crossover experimental design</dd>


<dt>id</dt>
<dd>A character string specifying the name of vector which identifies
the experimental units.</dd>


<dt>carrySimple</dt>
<dd><code>TRUE</code> = simple carry-over, where the residual effect of a
treatment affects equally each of the treatments that are preceded by it,
 and <code>FALSE</code> = carry-over complex, where the residual effect of the
 treatment affects each of the other treatments differently.</dd>

</dl>

createCarry: Add carryover dummy variables

Description

Usage

Value

Arguments

Examples