data_LOGIT

This dataset is a simulated dataset for use with the <code>trajeR.LOGIT</code> function,
which is an internal function to fit Logistic trajectory models.
This dataset is likely used to demonstrate the functionality of the <code>trajeR.LOGIT</code> model.
The LOGIT model is suitable for binary or categorical outcome variables,
often representing probabilities or classifications.

datasets

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.

Cc3<a9>dric NOEL

trajeR

Group Based Modeling Trajectory

Cédric Noel

Jang Schiltz

data_LOGIT function

Expected to be a data format compatible with the <code>trajeR.LOGIT</code> function,
typically matrices for the response variable (Y), time variable (A),
and potentially covariates (X, TCOV).

data_LOGIT: Simulated LOGIT Dataset

Description

Usage

Arguments

Format