theta is the class to store parameter estimates associated with
possibly
many datasets; after a call to fitModel
a list containing theta objects
for each of the n datasets analyzed in the call to fitModel is
created. To see the parameter estimates
associated with the datasets, examine the object currTheta
in the list returned by fitModel
Objects can be created by calls of the form new("theta", ...) or
theta(...).
kinpar:Object of class "vector" of rate constant estimates
specpar:Object of class "list" of spectral shape parameter estimates
irfpar:Object of class "vector" of IRF parameter estimates
parmu:Object of class "list" of parameter estimates describing dispersion of the location
of other parameters (in time, temp., etc.)
partau:Object of class "vector" of parameter estimates describing dispersion of the
width of other parameters (in time)
clpequ:Object of class "vector" of parameter estimates describing conditionally linear
parameters (spectra, in a kinetic model) relations
specdisppar:Object of class "list" of parameter estimates describing dispersion of
spectra
kinscal:Object of class "vector" of parameters describing kinetic relations in
the context of a compartmental scheme
prel:Object of class "vector" of parameters describing relations between
parameters (which may be linear, exponential, etc.)
dummy:Object of class "list" of dummy parameters which can be used in complex relations
eigenvaluesK:Object of class "vector" containing the eigenvalues of the kinetic transfer matrix K
coh:Object of class "vector" of parameters
describing a coherent artifact or pulse follower.
drel:Object of class "vector" of parameters describing relations between
datasets (linear, and possibly per-wavelength or, in general, per-clp)
oscpar:Object of class "vector" of parameters
describing oscillation parameters. The length depends on the type of oscillation and the number of oscillations.
Katharine M. Mullen, Ivo H. M. van Stokkum, Joris J. Snellenburg, Sergey P. Laptenok
after a call to fitModel, an object of class
theta exists in the global environment as the variable
currTheta
fitModel , multitheta-class