hopit.control | R Documentation |
hopit
modelAn auxiliary function for controlling the fitting of a hopit
model.
Use this function to set the control
parameters of the hopit
and other related functions.
hopit.control( grad.eps = 3e-05, bgfs.maxit = 10000, cg.maxit = 10000, nlm.maxit = 150, bgfs.reltol = 5e-10, cg.reltol = 5e-10, nlm.gradtol = 1e-07, nlm.steptol = 1e-07, fit.methods = "BFGS", nlm.fit = FALSE, trace = TRUE, transform.latent = "none", transform.thresh = "none" )
grad.eps |
an epsilon parameter ("a very small number") used to calculate the Hessian from the gradient function. |
bgfs.maxit, cg.maxit, nlm.maxit |
the maximum number of iterations.
See |
bgfs.reltol, cg.reltol |
the relative convergence tolerances for the BFGS and the CG methods.
See |
nlm.gradtol, nlm.steptol |
a tolerance at which the scaled gradient is
considered close enough to zero and
a minimum allowable relative step length for the nlm method. See |
fit.methods |
"CG", "BFGS", or both. If both, the CG is run first, followed by the BFGS. See |
nlm.fit |
a logical; if FALSE (default) the |
trace |
a logical for whether to trace the process of model fitting. |
transform.latent, transform.thresh |
a type of transformation applied to the all of the latent's or all of the threshold's numeric variables. Possible values:
|
Maciej J. Danko
hopit
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