CollocInferPlots: Diagnostic PLots for CollocInfer
In CollocInfer: Collocation Inference for Dynamic Systems

Description Usage Arguments Details Value

Diagnostic Plots on the Results of CollocInfer

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CollocInferPlots(coefs,pars,lik,proc,times=NULL,data=NULL,
      cols=NULL,datacols=NULL,datanames=NULL,ObsPlot=TRUE,DerivPlot=TRUE,
      DerivResid=TRUE,newplot=FALSE,cex.axis=1.5,cex.lab=1.5,cex=1.5,lwd=2)

`coefs`	Vector giving the current estimate of the coefficients.
`pars`	Vector of estimated parameters.
`lik`	`lik` object defining the observation process.
`proc`	`proc` object defining the state process.
`times`	Vector observation times for the data.
`data`	Matrix of observed data values.
`cols`	Optional vector specifying a color for each state variable.
`datacols`	Optional vector specifying a color for each observation dimension.
`datanames`	Optional character vector specifying a glyph to plot the data. Taken from the column-names of `data` if not given.
`ObsPlot`	Should a plot of predictions and observations be given?
`DerivPlot`	Should derivative diagnostics be produced?
`DerivResid`	Should a plot of the difference between Dx and f(x) be produced?
`newplot`	Should plots be opened in new devices? Note if this is FALSE, DerivePlot will overwrite ObsPlot.
`cex.axis`	Axis font size.
`cex.lab`	Label font size.
`cex`	Plotting point font size
`lwd`	Plotting line width

Timevec is taken to be the quadrature values. Three plots can be produced:

If ObsPlot=TRUE a plot is given of the predicted values of the observations along with the observations themselves (if given).

If DerivPlot=TRUE two plots are produced. The first gives the value of the derivative of the estimated trajectory (dashed) and the value of the right-hand-side of the ordinary differential equation in proc (hence the predicted derivative) (solid). The second plot gives their difference in the first panel as well as the estimated trajectory in the second panel.

A list containing elements used in plotting:

`timevec`	Times at which the trajectories etc were evaluated.
`traj`	Estimated value of the trajectory.
`dtraj`	Derivative of the estimated trajectory.
`ftraj`	Value of the derivative of the trajectory predicted by `proc`
`otraj`	Predicted values of the observations from `lik`.