prdframe: Prediction frame
Description
A prediction frame is used to store a model prediction in a matrix. The columns
of the matrix are "time" and one column per state. The prediction frame has attributes "deriv",
the matrix of sensitivities with respect to "outer parameters" (see P), an attribute
"sensitivities", the matrix of sensitivities with respect to the "inner parameters" (the model
parameters, left-hand-side of the parameter transformation) and an attributes "parameters", the
parameter vector of inner parameters to produce the prediction frame.Prediction frames are usually the constituents of prediction lists (prdlist). They are
produced by Xs, Xd or Xf. When you define your own prediction functions,
see P2X in prdfn, the result should be returned as a prediction frame.
Usage
prdframe(prediction = NULL, deriv = NULL, sensitivities = NULL, parameters = NULL)
Arguments
prediction
matrix of model prediction
deriv
matrix of sensitivities wrt outer parameters
sensitivities
matrix of sensitivitie wrt inner parameters
parameters
names of the outer paramters
Value
Object of class prdframe, i.e. a matrix with other matrices and vectors as attributes.