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