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13 search results found

📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮

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.

Joinerml ⭐ 24

R package for fitting joint models to time-to-event data and multivariate 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

Microbiomestat ⭐ 18

Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

R package for fitting joint models to time-to-event and longitudinal data

R-package for relational event models (one- and two-mode networks)

Lctmtools ⭐ 12

Latent Class Trajectory Models: An R Package

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

Trialemulation ⭐ 7

optic: Simulation Tool for Causal Inference Using Longitudinal Data

Brokenstick ⭐ 6

Broken Stick Model for Irregular Longitudinal Data

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1-13 of 13 search results

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