residDurbinWatson: Test for autocorrelation of residuals
In McDowellLab/loadflex: Models and Tools for Watershed Flux Estimates

Description Usage Arguments Value See Also

Extracts residuals from a load.model (where residuals may be for the calibration data or for a new set of observations). Applies car::durbinWatsonTest to test for autocorrelation of those residuals.

residDurbinWatson(load.model, flux.or.conc = c("flux", "conc"),
  abs.or.rel.resids = c("absolute", "relative"), use.log = FALSE,
  newdata = NULL, plot.acf = TRUE, timestep.tol = .Machine$double.eps^0.5,
  irregular.timesteps.ok = NA)

`load.model`	a loadModel descendant
`flux.or.conc`	character. The format in which residuals should be calculated
`abs.or.rel.resids`	character. Should residuals be computed as the difference or the ratio of the observed and predicted values?
`use.log`	logical. use log residuals?
`newdata`	The data from which to compute residuals; if NULL, the original fitting data for load.model will be used.
`plot.acf`	logical. Should the autocorrelation function be plotted?
`timestep.tol`	the acceptable tolerance for considering timesteps regular.
`irregular.timesteps.ok`	logical. If FALSE, this function requires that the timesteps between observations are identical to one another, and a plot is generated and an error is thrown if this requirement is not met. If TRUE, the check is not performed. If NA (the default), the check is performed but the function proceeds with a warning and no plot if the timesteps are found to be irregular. Tests of autocorrelation are weak to wrong when timesteps are irregular, but timesteps are often at least a bit irregular in the real world.