rPackages

Tool-Box of Chain Ladder Plus Models

Date-Time Types and Tools

A Wrapper for the 'Clockify' API

Boosting Conditional Logit Model

Fitting Exact Conditional Logistic Regression with Lasso and Elastic Net Penalties

Sparse Conditional Logistic Regression for Matched Studies

Estimate Growth Rates from Phylogenetic Trees

Seeking and Finding Clones in Copy Number and Sequencing Data

Clonality Estimates in Tumor

Composite Likelihood Inference and Diagnostics for Replicated Spatial Ordinal Data

Integrate Single-Arm Observational Data in Network Meta Analysis

Streamlined Interface to Interact with Cloud Storage Platforms

Interface to the Google Cloud Machine Learning Platform

R Client Library for CloudOS

Simplifies Access to Cloudstor API

Cloud Utilization Plots

Constrained Estimation of Linear Probability Model

Compute Price of Production and Labor Values

Curve Linear Regression via Dimension Reduction

Parallel Random Number Generation on GPU

Clinical and Laboratory Standards Institute (CLSI) EP15-A3 Calculations

Central Limit Theorem Experiments (Theoretical and Simulation)

Classification Using Binary Procrustes Rotation

Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections

Cluster Ensembles

Cluster Evaluation

Multidimensional Cluster Generation Using Support Lines

Clustering of Micro Panel Data

Bootstrap a Clustering Solution to Establish the Stability of the Clusters

Clustered Covariate Regression

A Procedure for Cluster Evolution Analytics

Simultaneous Semi-Parametric Estimation of Clustering and Regression

Wilcoxon Rank Tests for Clustered Data

ROC Analysis in Three-Class Classification Problems for Clustered Data

Simultaneous Detection of Clusters and Cluster-Specific Genes in High-Throughput Transcriptome Data

Cluster Evaluation on Graphs

Tools for Assessing Clustering

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)

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

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

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