Displaying 2 results from an estimated 2 matches for "lndbh".
2006 May 26
2
lme, best model without convergence
...ol(maxIter=50000, msMaxIter=200, tolerance=1e-4, niter=50,
msTol=1e-5, nlmStepMax=500,
,msVerbose=TRUE
,returnObject=TRUE
)
However, the lme-functions does not produce verbose output, nor does it
return the best fit if lme is not converging.
It returns only an error:
Error in lme.formula(y ~ lndbh + I(lndbh^2) + lnh + I(lnh^2), random =
~lndbh + :
iteration limit reached without convergence (9)
Best regards
Thomas
2013 Mar 26
2
Problem with nested for-loop
...0 iterations)and then over each
tree
#(total # of trees=259)
niter=10000
nspp=11
ntrees=259
lnbm=matrix(0,10000,259)
k=numeric()
for (i in 1:ntrees)
{
for (j in 1:nspp)
{
for (m in 1:niter)
{
k=((j1data$its[m]-1)*1000)+(j1data$spp[j])
#print(k)
lnbm[m,i]=j1data$b0[k]+j1data$b1[k]*predictdata$lndbh[i]
}
}
}
Thanks
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