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
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))