Dear R users
I use simulated data to evaluate a model by sampling the parameters in
my model from lognormal distributions.
I would like these (lognormal distributed) parameters to be correlated,
that is, I would like to have pairwise samples of 2 parameters with a
given correlation coefficient.
Dear R users
I use simulated data to evaluate a model by sampling the parameters in
my model from lognormal distributions.
I would like these (lognormal distributed) parameters to be correlated,
that is, I would like to have pairwise samples of 2 parameters with a
given correlation coefficient.
Hello!
I try to fit a non linear model. It is a quite complex (4 parameters)
biological model and therefore the optimization surface is probably very
rough, i.e. there are several optima. The optimum being found by the
algorithm depends thus on the starting values I feed in. I have seen the
"SANN
Hello there!
I'm creacting a loop for(i in 1:n){...}within which I build a nls model at each
iteration. for some of the values of i, the algoritm in the nls function
doesn't converge or cannot find a solution and consequently an error message is
produced, and so my loop is interupted. The erro
