An R package for Simulation Investigation for Empirical Network Analysis
-
Updated
Oct 27, 2024 - C++
An R package for Simulation Investigation for Empirical Network Analysis
A presentation on exploratory data visualization for longitudinal data in R using dplyr and ggplot2
The Random Intercept-Cross Lagged Panel Model with extensions. Code provided for Mplus and the R package lavaan.
📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮
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.
This code is in reference to the paper: Kundu, D. and Das, K., 2024. "A quantile-regression approach to bivariate longitudinal joint modeling." Journal of Statistical Research 58(1) , pp : 111-130 , doi: 10.3329/jsr.v58i1.75417
Course repository for BIOST 540: Longitudinal and Multilevel Data Analysis (Spring 2024) with Dr. Gary Chan
R package providing a one sample test for high dimensional repeated measures for one or multiple groups
Analysis of financial diary data reflecting people's experiences of energy insecurity in Great Britain over a five-month period from January to May 2023
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.
[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
An R data package for the book "Applied longitudinal data analysis: Modeling change and event occurrence" by Singer and Willett (2003).
Contains presentations and reviews of Bayesian analysis papers from grad school coursework.
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
Scripts for assessing longitudinal quantitative traits in UKBIOBANK-linked primary care data
A generalized joint model for high-dimensional multivariate longitudinal data and censored durations
R package for easy model fitting and visualization for longitudinal 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
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."