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.
[CVPR'25] Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮
Shiny App for Repeated Measurements Course
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
The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.
The University of Pittsburgh English Language Institute Corpus (PELIC) dataset
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.
[MICCAI 2026] Merlin Plus is the first large-scale public CT dataset with radiologist-created tumor masks across 9 organs (spleen, bladder, gallbladder, stomach, duodenum, prostate, adrenal glands, esophagus, and uterus), adding 1,153 per-voxel tumor masks to the Stanford Merlin dataset.
Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
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