data_CNORM_Censored

This dataset is a simulated dataset specifically designed for use with the
<code>trajeR.CNORM</code> function, demonstrating its capabilities with censored data.
The <code>trajeR.CNORM</code> function is an internal function to fit Censored Normal (CNORM) models.
Censoring refers to observations where the true value is not precisely known but
is known to be above or below a certain threshold. The <code>trajeR.CNORM</code> function
supports both <code>ymin</code> (minimum value for censoring) and <code>ymax</code> (maximum value for censoring).
This dataset is expected to contain a response variable (Y), time variable (A),
and potentially covariates (X, TCOV) suitable for trajectory analysis using the
CNORM model, where some observations in Y are censored.

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_CNORM_Censored function

Expected to be a data format compatible with the <code>trajeR.CNORM</code> function,
typically matrices for Y, A, X, and TCOV. The specific structure would be
similar to other datasets used with <code>trajeR.CNORM</code>.

data_CNORM_Censored: Simulated Censored CNORM Dataset

Description

Usage

Arguments

Format