Description Usage Arguments Details Value Examples
Test the sensibility of the lvm estimate to the initialization points
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object |
a lvm model |
... |
additional arguments to be passed to estimate |
data |
a data frame |
factor.vcov |
inflation factor for the variance when sampling the initialization points |
n.init |
number of initialization points to be used |
keep.cov |
should the covariance between parameter be kept to simulate the initialization points |
ncpus |
the number of CPU to be used |
trace |
should a progression bar be displayed? |
Simulation is based on a multivariate truncated normal law (even though it is not satifying for the variance components)
a data frame/cvlvm object containing the convergence status (by default 0 indicates successful convergence, see ?optim), the value of the log-likelihood and the estimated parameters (in columns) for each initialization (in rows)
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