Arguments
model
Object of class dat; switches on this
argument.
group
list of vector pairs (x2 index, dataset index) for which
the part of the residual vector is to be determined
multimodel
Object of class multimodel
thetalist
Object of class multitheta
clpindepX
Object of class matrix containing the matrix
determined directly by the nonlinear parameters (e.g., a concentration matrix
in the case of a kinetic model) in the case that this matrix does not depend
on the x2 index
finished
logical determining whether fitting is finished that
triggers the storage of results
returnX
logical determining whether to just return the matrix
X directly dependent on nonlinear parameters; this is used in the finite
difference derivative of X used to get standard error estimates on the
conditionally linear paramete
rawtheta
numeric vector of nonlinear parameters to be optimized
by nls; this is used in the finite
difference derivative of X used to get standard error estimates on the
conditionally linear parameters.