I am trying to follow the steps of the analysis to fit the mixture models on my own dataset. However, I cannot seem to get the mixture model fitting to converge, even with 20 samples:
> all_components<-fitMixtureModels(CN_features)
2 : *
3 : *
4 : *
5 : *
6 : *
7 : *
8 : *
9 : *
10 : *
2 : *
3 : *
4 : *
5 : *
6 : *
7 : *
8 : *
9 : *
10 : *
2 : *
3 : *
4 : *
5 : *
6 : *
7 : *
8 : *
9 : *
10 : *
2 : *Error in FLXfit(model = model, concomitant = concomitant, control = control, :
1 Log-likelihood: NA
3 : *Error in FLXfit(model = model, concomitant = concomitant, control = control, :
1 Log-likelihood: NA
4 : *Error in FLXfit(model = model, concomitant = concomitant, control = control, :
1 Log-likelihood: NA
5 : *Error in FLXfit(model = model, concomitant = concomitant, control = control, :
1 Log-likelihood: NA
6 : *Error in FLXfit(model = model, concomitant = concomitant, control = control, :
1 Log-likelihood: NA
7 : *Error in FLXfit(model = model, concomitant = concomitant, control = control, :
1 Log-likelihood: NA
8 : *Error in FLXfit(model = model, concomitant = concomitant, control = control, :
1 Log-likelihood: NA
9 : *Error in FLXfit(model = model, concomitant = concomitant, control = control, :
1 Log-likelihood: NA
10 : *Error in FLXfit(model = model, concomitant = concomitant, control = control, :
1 Log-likelihood: NA
Error in flexmix::stepFlexmix(dat ~ 1, model = flexmix::FLXMCmvpois(), :
no convergence to a suitable mixture
I am trying to follow the steps of the analysis to fit the mixture models on my own dataset. However, I cannot seem to get the mixture model fitting to converge, even with 20 samples:
Am I doing something wrong, or should I be using more samples?