datapointL2: L2 objective function for validation data point
In dMod: Dynamic Modeling and Parameter Estimation in ODE Models

Description Usage Arguments Details Value See Also Examples

L2 objective function for validation data point

1	datapointL2(name, time, value, sigma = 1, attr.name = "validation", condition)

`name`	character, the name of the prediction, e.g. a state name.
`time`	numeric, the time-point associated to the prediction
`value`	character, the name of the parameter which contains the prediction value.
`sigma`	numeric, the uncertainty of the introduced test data point
`attr.name`	character. The constraint value is additionally returned in an attributed with this name
`condition`	character, the condition for which the prediction is made.

Computes the constraint value

(pred-p[names(mu)])^2/sigma^2

and its derivatives with respect to p.

List of class objlist, i.e. objective value, gradient and Hessian as list.

wrss, constraintL2

prediction <- list(a = matrix(c(0, 1), nrow = 1, dimnames = list(NULL, c("time", "A"))))
derivs <- matrix(c(0, 1, 0.1), nrow = 1, dimnames = list(NULL, c("time", "A.A", "A.k1")))
attr(prediction$a, "deriv") <- derivs
p0 <- c(A = 1, k1 = 2)

vali <- datapointL2(name = "A", time = 0, value = "newpoint", sigma = 1, condition = "a")
vali(pars = c(p0, newpoint = 1), env = .GlobalEnv)