longitudinal-data
There are 104 repositories under longitudinal-data topic.
sktime/sktime-dl
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
stocnet/rsiena
An R package for Simulation Investigation for Empirical Network Analysis
rpsychologist/powerlmm
powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.
drizopoulos/Repeated_Measurements
Shiny App for Repeated Measurements Course
nt-williams/lmtp
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
hharcolezi/multi-freq-ldpy
Multiple Frequency Estimation Under Local Differential Privacy in Python
cafferychen777/MicrobiomeStat
Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
hlennon/LCTMtools
Latent Class Trajectory Models: An R Package
JeroenDMulder/RI-CLPM
Online supplementary materials of “Three extensions of the random intercept cross-lagged panel model” by Mulder and Hamaker (2021).
graemeleehickey/joineRML
R package for fitting joint models to time-to-event data and multivariate longitudinal data
philips-software/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
jtimonen/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.
ELI-Data-Mining-Group/PELIC-dataset
The University of Pittsburgh English Language Institute Corpus (PELIC) dataset
chengl7/LonGP
Gaussian process regression + automatical model selection for logitudinal -omics data
brandenberger/rem
R-package for relational event models (one- and two-mode networks)
graemeleehickey/joineR
R package for fitting joint models to time-to-event and longitudinal data
leifeld/btergm
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
nadeemlab/SeqX2Y
Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]
gmiaslab/pyiomica
PyIOmica (pyiomica) is a Python package for omics analyses.
ellenhamaker/RI-CLPM
This repository has been transferred to jeroendmulder.github.io/RI-CLPM for easier maintenance. The Github Pages automatically redirects to the new Github Page.
bionlplab/longitudinal_transformer_for_survival_analysis
[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
hharcolezi/LOLOHA
Repository for the EDBT'23 paper "Frequency Estimation of Evolving Data Under Local Differential Privacy".
imalenica/medltmle
R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data
Califrais/flash
A generalized joint model for high-dimensional multivariate longitudinal data and censored durations
jorgeserras/MTS_OutlierDetection
METEOR: Outlier detection for longitudinal data using Dynamic Bayesian Networks
kathoffman/swimmer-plots
Slides for my R/Medicine 2022 talk, "Making Swimmer Plots for Longitudinal Data using {ggplot}".
graemeleehickey/comprisk
Comparison of joint models for competing risks and longitudinal data
growthcharts/brokenstick
Broken Stick Model for Irregular Longitudinal Data
RANDCorporation/optic
optic: Simulation Tool for Causal Inference Using Longitudinal Data
scibiome/meteor
`MeTEor` is an R Shiny application that offers the possibility to explore longitudinal metabolomics data. For this purpose, a variety of statistical analysis and visualization methods are implemented in MeTEor to help the user to get a quick overview of the data.
j-kuo/LCTMC
This package fits a latent class CTMC model to cluster longitudinal multistate data
m-clark/mixed-models-growth-curves-simulation
Raw files for a document simulating models for longitudinal data (mixed models and growth curve models).
basiralab/4D-FED-GNN
Federated time-dependent graph evolution prediction with missing timepoints.
junyzhou10/clusterMLD
Clustering longitudinal data with potential sparse, irregular observations, multiple outcomes, and unbalanced cluster sizes