The DESCRIPTION file:
tools:::Rd_package_DESCRIPTION("nor1mix")
tools:::Rd_package_indices("nor1mix")
Note that direct Maximum Likelihood ML (via optim()) is typically much
faster converging (and more reliably detecting convergence correctly),
notably thanks to a smart re-parametrization: use norMixMLE().
See Also
The Marron-Wand examples of normal (gaussian) mixtures MarronWand.
Multivariate distributions from copulas Mvdc
from the copula package can use norMix marginals.