| bakk_measurements | Series of function to simulate data. | 
| bootstrap | Non-parametric bootstrap of StepMix estimator. | 
| bootstrap.stepmix.stepmix.StepMix | Non-parametric bootstrap of StepMix estimator. | 
| bootstrap_stats | Non-parametric boostrap of StepMix estimator. | 
| bootstrap_stats.stepmix.stepmix.StepMix | Non-parametric boostrap of StepMix estimator. | 
| check_pystepmix_version | Install stepmix python package into python via reticulate. | 
| data_bakk_complete | Series of function to simulate data. | 
| data_bakk_covariate | Series of function to simulate data. | 
| data_bakk_response | Series of function to simulate data. | 
| data_gaussian_diag | Series of function to simulate data. | 
| data_generation_gaussian | Series of function to simulate data. | 
| fit | Fit a mixture using the stepmix python package. | 
| identify_coef | Fit a mixture using the stepmix python package. | 
| install.stepmix | Install stepmix python package into python via reticulate. | 
| loadfit | Save the fit of a mixture using the stepmix python package. | 
| mixed_descriptor | Utility function for mixture using mixed description. | 
| predict.stepmix.stepmix.StepMix | Predict the membership (probabilities) using the fit of the stepmix python package. | 
| predict_proba | Predict the membership (probabilities) using the fit of the stepmix python package. | 
| predict_proba.stepmix.stepmix.StepMix | Predict the membership (probabilities) using the fit of the stepmix python package. | 
| print.stepmix.stepmix.StepMix | Fit a mixture using the stepmix python package. | 
| random_nan | Series of function to simulate data. | 
| savefit | Save the fit of a mixture using the stepmix python package. | 
| stepmix | R interface to stepmix in StepMix python. |