Scikit-Longitudinal
Scikit-Longitudinal: A Machine Learning Library for Longitudinal Classification in Python - Published in JOSS (2025)
latrend
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
lmtp
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
joineRML
R package for fitting joint models to time-to-event data and multivariate longitudinal data
joineR
R package for fitting joint models to time-to-event and longitudinal data
btergm
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
sktime-dl
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
lgpr
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.
https://github.com/avallecam/hemogr
Analysis code for the manuscript "Hematological profiles in patients infected with malaria in an endemic area of Peru"
hdrm
R package providing a one sample test for high dimensional repeated measures for one or multiple groups
HRM
R package providing statistical tests for high-dimensional repeated measures or split-plot designs.
https://github.com/cafferychen777/microbiomestat
Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
affectivedynamics
The Affective Dynamics of Everyday Digital Life: Opening Computational Possibility
https://github.com/cafferychen777/microbiomestat-shiny
A Shiny interface for the MicrobiomeStat R package, designed to facilitate analysis and visualization of microbiome data.
