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For the exmaple below you need a an omega parameter specifying the IOV (here we call it OMEGA_IOVCL) and of course, a place in your model where the random IOV is added to:
Than you just need to add one line to the dataset specifying the IOV distribution, with mean=0 and the variability taken from the parameter value.
This is something that was always possible in campsis (https://calvagone.github.io/campsis.doc/articles/v07_iov.html) and in the custom dataset window in e-Campsis.
For the exmaple below you need a an omega parameter specifying the IOV (here we call it OMEGA_IOVCL) and of course, a place in your model where the random IOV is added to:
Than you just need to add one line to the dataset specifying the IOV distribution, with mean=0 and the variability taken from the parameter value.
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