longitudinal-data

powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.

Shiny App for Repeated Measurements Course

📦 Non-parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies 🔮

R package for fitting joint models to time-to-event data and multivariate longitudinal data

R-package for relational event models (one- and two-mode networks)

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

R package for fitting joint models to time-to-event and longitudinal data

This repository has been transferred to jeroendmulder.github.io/RI-CLPM for easier maintenance. The Github Pages automatically redirects to the new Github Page.

Gaussian process regression + automatical model selection for logitudinal -omics data

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

The University of Pittsburgh English Language Institute Corpus (PELIC) dataset

R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data

Latent Class Trajectory Models: An R Package

PyIOmica (pyiomica) is a Python package for omics analyses.

Comparison of joint models for competing risks and longitudinal data

Raw files for a document simulating models for longitudinal data (mixed models and growth curve models).

Broken Stick Model for Irregular Longitudinal Data

Implementation of Gaussian Process Panel Modeling in R

Visualization and Analyses of PATH (Population Assessment of Tobacco & Health) Survey data

Biological and vital parameters trajectories visualization tool

The Random Intercept-Cross Lagged Panel Model with extensions. Code provided for Mplus and Lavaan (R).

A generalized joint model for high-dimensional multivariate longitudinal data and censored durations

Function for creating time-series plots using ggplot. Updated from legacy project r-ggplotspaghetti

Functions for the STARTS Model.

Simulations for the cosinor model