theta-class function

Class "theta" for storage of nonlinear parameter estimates

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 class

Objects from the Class

Objects can be created by calls of the form new("theta", ...) or theta(...).

Slots

• 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)
• amplitudes:
• amps:
• anipar:
• cohirf:
• jvec:
• kin2scal:
• kinpar2:
• kinscalspecial:
• oscpar:: Object of class "vector" of parameters describing oscillation parameters. The length depends on the type of oscillation and the number of oscillations.
• peakpar:
• shift:

Details

after a call to fitModel, an object of class theta exists in the global environment as the variable currTheta

See Also

fitModel, multitheta-class

Author(s)

Katharine M. Mullen, Ivo H. M. van Stokkum, Joris J. Snellenburg, Sergey P. Laptenok