Latent Class Trajectory Models: An R Package
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Updated
Dec 1, 2022 - R
Latent Class Trajectory Models: An R Package
PlotTwist - a web app for plotting and annotating time-series 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
Version 2.1.0 released
COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
CIARA (Cluster Independent Algorithm for the identification of markers of RAre cell types) is an R package that identifies potential markers of rare cell types looking at genes whose expression is confined in small regions of the expression space
A quick reference for how to run many models in R.
Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data
An R package to detect collective spatio-temporal phenomena
Shiny app that makes cluster analysis of some productivity measures from TJSP
Supplementary materials for the manuscript "Clustering of longitudinal data: A tutorial on a variety of approaches" by N. G. P. Den Teuling, S.C. Pauws, and E.R. van den Heuvel (2021)
R package for COCA: Cluster-of-Clusters Analysis
Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.
dendrograms in ggplot2.
R package for KLIC: Kernel Learning Integrative Clustering
Internal Validity Indexes for Fuzzy and Possibilistic Clustering
GUI for Bayesian cluster analysis of SMLM data
This analysis uses Principal Components Analysis and k-Means clustering to identify useful subgroups within FiveThirtyEight's Ultimate Halloween Candy Power Ranking dataset. It also used hypothesis tests to assess whether differences exist between popular and unpopular candies.
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