MVLS v1.1 is a function for R software to impute missing values in longitudinal dataset. R package.
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Updated
Jul 21, 2018 - R
MVLS v1.1 is a function for R software to impute missing values in longitudinal dataset. R package.
A general model for the joint analysis of multivariate longitudinal data and survival time
Analysis code for the manuscript "Hematological profiles in patients infected with malaria in an endemic area of Peru"
R package providing statistical tests for high-dimensional repeated measures or split-plot designs.
Analysis of the evolution of prevalence of thought disorders
Function for creating time-series plots using ggplot. Updated from legacy project r-ggplotspaghetti
A ggplot2-based R package for visualizing longitudinal patient data and integrated clinical events in a user-friendly and customizable manner.
(OLD VERSION - 0.3) - MVLS is a function for R software to impute missing values in longitudinal dataset. R package.
(OLD VERSION - 1.0) - MVLS v1.0 is a function for R software to impute missing values in longitudinal dataset. R package.
Functions for the STARTS Model.
`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.
Supporting code for my project on evaluation of effectiveness of a new drug on Insomnia by longitudinal models, using R
Unsupervised REgression MIXtures (uReMix)
This repository contains coding scripts utilized for the analysis of Longitudinal scRNAseq of human pancreatic slices datasets
This package fits a latent class CTMC model to cluster longitudinal multistate data
Random forests for longitudinal data using stochastic semiparametric miced-model
R package for retrospective variant-set testing for longitudinal traits in genome-wide association studies
Biostatistics PGR Development Course FLHR 627
Chess Olympiad Dataset 2022
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