Group Based Modeling Trajectory
Adequacy of the model
Average Posterior Probability
Confidence interval
Differential
Function fait
Membership's probabilities
Profiles of each group
Odds of Correct Classification
plot trajectory
plot BETA trajectory
plot CNORM trajectory
plot LOGIT trajectory
plot Non Linear trajectory
plot POIS trajectory
plot ZIP trajectory
Print BETA
Print CNORM
Print LOGIT
print NL trajectory
Print POIS
Print ZIP
Assignment proportion
Internal function to fit Beta regression
Internal function to fit CNORM Model
Internal function to fit LOGIT Model
Internal function to fit Non Linear Model
Internal function to fit poisson Model
Fitting longitudinal mixture models
Internal function to fit ZIP Model
AIC function to an trajectory object
BIC function to an trajectory object
SH function to an trajectory object
Estimation of group-based trajectory models, including finite mixture models for longitudinal data, supporting censored normal, zero-inflated Poisson, logit, and beta distributions, using expectation-maximization and quasi-Newton methods, with tools for model selection, diagnostics, and visualization of latent trajectory groups, <doi:10.4159/9780674041318>, Nagin, D. (2005). Group-Based Modeling of Development. Cambridge, MA: Harvard University Press. and Noel (2022), <https://orbilu.uni.lu/>, thesis.