An R data package for the book "Applied longitudinal data analysis: Modeling change and event occurrence" by Singer and Willett (2003).
-
Updated
Jun 20, 2024 - R
An R data package for the book "Applied longitudinal data analysis: Modeling change and event occurrence" by Singer and Willett (2003).
Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
`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.
📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮
R package for easy model fitting and visualization for longitudinal data.
Scripts for assessing longitudinal quantitative traits in UKBIOBANK-linked primary care data
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
Random forests for longitudinal data using stochastic semiparametric miced-model
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
A Shiny interface for the MicrobiomeStat R package, designed to facilitate analysis and visualization of microbiome data.
Functions for the STARTS Model.
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.
Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models.
optic: Simulation Tool for Causal Inference Using Longitudinal Data
This repository contains coding scripts utilized for the analysis of Longitudinal scRNAseq of human pancreatic slices datasets
Broken Stick Model for Irregular Longitudinal Data
This package fits a latent class CTMC model to cluster longitudinal multistate data
R package for fitting joint models to time-to-event and longitudinal data
Add a description, image, and links to the longitudinal-data topic page so that developers can more easily learn about it.
To associate your repository with the longitudinal-data topic, visit your repo's landing page and select "manage topics."