longitudinal-data

#计算机科学#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

#计算机科学#📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮

#计算机科学#☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scienti...

[CVPR'25] Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation

Multiple Frequency Estimation Under Local Differential Privacy in Python

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

Latent Class Trajectory Models: An R Package

Online supplementary materials of “Three extensions of the random intercept cross-lagged panel model” by Mulder and Hamaker (2021).

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 evaluatio...

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

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. V...

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

#计算机科学#Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]