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 🔮
[CVPR'25] Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
Scikit-Longitudinal (Sklong) your tailored (health) Longitudinal machine learning library built on top of Scikit-Learn
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 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
[npj Digital Medicine] "Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling" by Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah H Van Tassel, Kyle Kovacs, Emily Y Chew, Zhiyong Lu, Zhangyang Wang, & Yifan Peng
Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
Add a description, image, and links to the longitudinal-data topic page so that developers can more easily learn about it.
To associate your repository with the longitudinal-data topic, visit your repo's landing page and select "manage topics."