Fast regression and mediation analysis of vertex or voxel MRI data with TFCE

GWAS tools for longitudinal genetic traits based on fGWAS statistical model

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 scientists, and analysts, as it provides specialist tools for dealing with repeated-measures data challenges

Proactive methodological disclosure of a high resolution precision calibrated estimate of the Gompertz-Makeham Law of Mortality and general utilization hazard rates through lifespan interferometry against annual census data consolidated from the administrative data of all publicly funded healthcare provided in a single geopolitical jurisdiction.

R functions to generate lavaan code for testing longitudinal measurement invariance

Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset

Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset

Generalised joint models of survival and multivariate longitudinal data

Auto-Scikit-Longitudinal (Auto-Sklong) is an automated machine learning (AutoML) library designed to analyse longitudinal data (Classification tasks focussed as of today) using various search methods. Namely, Bayesian Optimisation via SMAC3, Asynchronous Successive Halving, Evolutionary Algorithms, and Random Search via GAMA

scikit-lexicographical-trees: Based upon Scikit-Learn(-tree), it offers adapted trees and forest for Longitudinal Classification

An R-based Longitudinal mEtaGenomic Analysis Toolkit for microbiome data

Analysis guide for IPUMS PMA longitudinal data

Hurricane Track Analysis via Sasaki-based Splines Models

An R package for I-prior regression

GWAS tools for longitudinal genetic traits based on fGWAS statistical model

Simulink model of a vehicle

A tool to visualize LACE output.

Ordinal pattern analysis R package

R/medltmle: Estimation for Natural Mediation Effect in Longitudinal Data