longitudinal-data

sktime companion package for deep learning based on TensorFlow

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

Shiny App for Repeated Measurements Course

An R package for Simulation Investigation for Empirical Network Analysis

📦 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 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 relational event models (one- and two-mode networks)

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

Multiple Frequency Estimation Under Local Differential Privacy in Python

An R package for clustering longitudinal datasets in a standardized way, providing interfaces to various R packages for longitudinal clustering, and facilitating the rapid implementation and evaluation of new methods

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

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

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

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

Latent Class Trajectory Models: An R Package

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

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

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

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