| theta-class {TIMP} | R Documentation |
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
after a call to fitModel, an object of class
theta exists in the global environment as the variable
currTheta
Objects can be created by calls of the form new("theta", ...) or
theta(...).
kinpar:"vector" of rate constant estimates specpar:"list" of spectral shape parameter estimatesirfpar:"vector" of IRF parameter estimatesparmu:"list" of parameter estimates describing dispersion of the location
of other parameters (in time, temp., etc.)partau:"vector" of parameter estimates describing dispersion of the
width of other parameters (in time)clpequ:"vector" of parameter estimates describing conditionally linear
parameters (spectra, in a kinetic model) relationsspecdisppar:"list" of parameter estimates describing dispersion of
spectrakinscal:"vector" of parameters describing kinetic relations in
the context of a compartmental schemeprel:"vector" of parameters describing relations between
parameters (which may be linear, exponential, etc.)coh:"vector" of parameters
describing a coherent artifact or pulse follower. drel:"vector" of parameters describing relations between
datasets (linear, and possibly per-wavelength or, in general, per-clp)Katharine M. Mullen, Ivo H. M. van Stokkum