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longitudinal-data
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DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
An R package for Simulation Investigation for Empirical Network Analysis
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 Based on Modified Treatment Policies 🔮
Multiple Frequency Estimation Under Local Differential Privacy in Python
Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
Online supplementary materials of “Three extensions of the random intercept cross-lagged panel model” by Mulder and Hamaker (2021).
Latent Class Trajectory Models: An R Package
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 fitting joint models to time-to-event data and multivariate longitudinal data
R package for fitting joint models to time-to-event data and multivariate longitudinal data
[CVPR'25] Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
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
The University of Pittsburgh English Language Institute Corpus (PELIC) dataset
Gaussian process regression + automatical model selection for logitudinal -omics data
R package for fitting joint models to time-to-event and longitudinal data
R-package for relational event models (one- and two-mode networks)