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Fit the model with cross-terms

In the video, I showed you how to fit a bivariate Gaussian mixture model considering a diagonal covariance matrix (ie, with no cross terms). The idea here is to replicate the estimations but this time considering the cross terms.

This exercise is part of the course

Mixture Models in R

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Exercise instructions

Use the function flexmix() to fit a bivariate Gaussian mixture model for the variables Weight and BMI from gender dataset with two clusters, and cross-terms included.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

set.seed(1313)
fit_with_covariance <- ___(cbind(___,___) ~ ___,
               data = gender,
               k = ___, 
               model = FLXMCmvnorm(diag = ___),
               control = list(tolerance = 1e-15, iter.max = 1000))
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