DEPRECATED, now in 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.

An R package for Simulation Investigation for Empirical Network Analysis

Shiny App for Repeated Measurements Course

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

Multiple Frequency Estimation Under Local Differential Privacy in Python

The Random Intercept-Cross Lagged Panel Model with extensions. Code provided for Mplus and the R package lavaan.

Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat

Latent Class Trajectory Models: An R Package

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

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

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.

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

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

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

Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]

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.