testInteract: This function runs the main code for fitting a model that...
In ColtoCaro/compMS: Bayesian Compositional Proteomics Modeling via Stan

Description Usage Arguments

View source: R/longFunctions.R

This function runs the main code for fitting a model that compares more than one curve through time.

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testInteract(tempDat, timeDegree = 2, fullTimes, fullCats, useW = TRUE,
  refCat = NULL, groupByGene = FALSE, randEffect = 0,
  testBaseline = TRUE, sinusoid = FALSE, period = 2 * pi)

`tempDat`	The data to be analyzed
`timeDegree`	either 1, 2 or 3 for linear, quadratic or cubic models
`fullTimes`	A vector specifying all of the times found in the study
`fullCats`	A vector specifying all of the categories found in the study
`useW`	A boolean that determines whether or not the posterior variance of each protein estimate should be used to weight the observations
`refCat`	A string that specifies the reference category. Must be a string, not a factor!
`groupByGene`	A boolean that specifies whether timepoints are grouped by genes or proteins
`randEffect`	takes 0 for no random effects. 1 for a random intercept and 2 for a random slope and intercepts model
`sinusoid`	Boolean variable that supercedes timeDegree forcing a sinusoidal time structure