rPackages

Clustering of Datasets

Identifying Similar T Cell Receptor Hyper-Variable Sequences with 'ClusTCR2'

Determining Groups in Multiples Curves

Clustering Dose-Response Curves and Fitting Appropriate Models to Them

Clusters of Effects Curves in Quantile Regression Models

"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al

Performs Tests for Cluster Tendency of a Data Set

Analyze Clustered Data with Generalized Linear Models using the Cluster Bootstrap

Consensus Clustering using Multiple Algorithms and Parameters

Clustering Indices

Causal Effects from Observational Studies with Clustered Interference

Location and Visualization of Clustered Somatic Mutations

Random Cluster Generation (with Specified Degree of Separation)

One-Step to Cluster and Visualize Gene Expression Data

Clustering Genotypes in Haplotypes

Tools for Clustering High-Dimensional Data

Techniques for Evaluating Clustering

Cluster Analysis with Missing Values by Multiple Imputation

Unbiased Single-Cell Transcriptomic Data Cell Type Identification

Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM, PBS/Torque)

Integrative Clustering for Heterogeneous Biomedical Datasets

Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering

Rank Tests for Clustered Data

Reproducibility of Gene Expression Clusters

Calculate Cluster-Robust p-Values and Confidence Intervals

Searching for Optimal Clustering Procedure for a Data Set

Assessment of Stability of Individual Objects or Clusters in Partitioning Solutions

Check the Clustering Tendency

Assessment of Cluster Stability by Randomized Maps

Fitting Latent Class Vector-Autoregressive (VAR) Models

Hierarchical Clustering with Spatial Constraints

K-Means Clustering with Build-in Missing Data Imputation

Learn Clustering Techniques Through Examples and Code

Cluster-Based Multiple Comparisons

Model Based Clustering for Mixed Data

K-Prototypes Clustering for Mixed Variable-Type Data

Network-Based Clustering

Clustering of Variables

Cluster Ordinal Data via Proportional Odds or Ordered Stereotype

Prediction and Clustering on the Torus by Conformal Prediction

Clustering Longitudinal Trajectories

Monitor Changes in Cluster Solutions of Dynamic Datasets

Methods for Joint Dimension Reduction and Clustering

Visualise Clusterings at Different Resolutions

Cluster Strings by Edit-Distance

Interactive Document for Working with Cluster Analysis

Spatio-Temporal Finite Mixture Model using 'TMB'

Clustering

Clustering of Variables Around Latent Variables

Variable Selection for Gaussian Model-Based Clustering

Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering

Cluster Validation Techniques

Validation of Clustering Results

Tools for Customer Lifetime Value Estimation

Covariance Matrix Adapting Evolutionary Strategy

Covariance Matrix Adaptation Evolution Strategy

Calculate Distance Measures for a Given List of Data Frames with Factors

Process and Visualise Concept Mapping Data

Commercial Modular Aero-Propulsion System Simulation Data Set

Representation Tool For Output Of Connectivity Map (CMap)

Implementation of the Conic Multivariate Adaptive Regression Splines in R

Matching Algorithms for Causal Inference with Clustered Data

Conditional Mixture Modeling and Model-Based Clustering

Computer Model Calibration for Deterministic and Stochastic Simulators

An Implementation of the 'Congruent Matching Cells' Method

Framework for Building Interfaces to Shell Commands

Bi-Level Selection of Conditional Main Effects

Collective Matrix Factorization

Collective Matrix Factorization for Recommender Systems

Calibrated Model Fusion Approach to Combine Surrogate Markers

Covariate-Augumented Generalized Factor Model

Access, Retrieve, and Work with CMHC Data

Cochran-Mantel-Haenszel and Nonparametric ANOVA

Mental Health Status, Substance Use Status and their Concurrent Status in North American Healthcar…

Visualization and Analysis of Coupled Model Intercomparison Project, Phase-6 (CMIP6)

Conditional Manifold Learning