Description Usage Arguments Value Author(s) See Also Examples
Auxiliary function providing a user interface for
mra
fitting. Typically only used when calling one of the
*.estim
routines.
1  mra.control(algorithm=1, maxfn=1000, cov.meth=1, trace=0, tol=1e07 )

algorithm 
Integer specifying the maximization algorithm to use. If 
maxfn 
Maximum number of likelihood evaluations allowed during the fitting process.
This determines when the minimization routine stops and concludes that the problem
will not converge. The routine stops after the likelihood has been evaluated

cov.meth 
Integer specifying the covariance estimation method. 
trace 
Integer controlling output of intermediate results. If When using

tol 
Vector or scalar of tolerance(s) for coefficients in the model. Minimization stops and concludes it has converged when delta.b(i) < tol(i) for all i, where delta.b(i) is change in parameter i on an iteration. 
A list with the input arguments as components.
Trent McDonald, WESTINC, [email protected]
1 2 3 4 5  data(dipper.histories)
ct < as.factor( paste("T",1:ncol(dipper.histories), sep=""))
attr(ct,"nan")<nrow(dipper.histories)
dipper.cjs < F.cjs.estim( ~tvar(ct,drop=c(1,2)), ~tvar(ct,drop=c(1,6,7)),
dipper.histories, control=mra.control(trace=1, maxfn=200) )

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