prdframe: Prediction frame

In dkaschek/dMod: Dynamic Modeling and Parameter Estimation in ODE Models

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.

dkaschek/dMod documentation built on April 23, 2024, 5:18 p.m.