nor1mix (version 1.3-0)

nor1mix-package: tools:::Rd_package_title("nor1mix")

Description

tools:::Rd_package_description("nor1mix")

Arguments

Author

tools:::Rd_package_author("nor1mix")

Maintainer: tools:::Rd_package_maintainer("nor1mix")

Details

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.

Examples

Run this code
   example(dnorMix)
   

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