initModel. Then fitModel
is used to optimize the starting values for parameters. modifyModel
allows modifification of the starting values in the model specification
with the optimized values found via fitModel.modifyModel(model = list(), newest = list(), exceptslots = vector() )dat returned by initModel;
if this argument is of length(0), which is the default, then the
last model fit is used (which is found in the global variable
.currModel@model)theta containing new parameter
estimates; if this argument is of length(0), which is the default,
then the parameter estimates associated with dataset 1 in the last model fit
are used (which are founddat that returns the results of
calling initModel with the new starting values.initModel, fitModel