Density-Based Spatial Clustering of Applications with Noise
(DBSCAN) and Related Algorithms
R package dbscan version 1.2.4

Dada-BLAST-Taxon Assign-Condense Metabarcode Analysis 'shiny'
Application

Doubly Robust Distribution Balancing Weighting Estimation

Produce R Functions to Create HTML Forms Based on SQL Meta Data

Inferring Condition-Specific Networks via Differential Network
Inference
R package dc3net version 1.2.0

Detrended Fluctuation and Detrended Cross-Correlation Analysis

Analyzing Dichotomous Choice Contingent Valuation Data

DCC Models with GARCH and GARCH-MIDAS Specifications in the
Univariate Step, RiskMetrics, Moving Covariance and Scalar and
Diagonal BEKK Models
R package dccmidas version 0.1.2

Fast Computation of Distance Correlations

Clustering Big Data using Expectation Maximization Star (EM*)
Algorithm
R package DCEM version 2.0.5

Efficient and Accessible Discrete Choice Experiments

Data Cloud Geometry (DCG): Using Random Walks to Find Community
Structure in Social Network Analysis
R package DCG version 0.9.3

Calculate the Dendritic Connectivity Index in River Networks

Genetic Relatedness Between Polyclonal Infections

Claims Reserving under the Double Chain Ladder Model

Distance Based Cell Lineage Reconstruction

Data Cloning and MCMC Tools for Maximum Likelihood Methods

Functions for the Detection of Spatial Clusters of Diseases

Model-Based Detection of Disease Clusters

Calculating the M2 Model Fit Statistic for Diagnostic
Classification Models
R package dcm2 version 1.0.2

Data Sets for Diagnostic Classification Modeling

Hierarchical Models Made Easy with Data Cloning

Modify Data Using Externally Defined Modification Rules

Generate 'Stan' Code for Diagnostic Classification Models

Providing Fast and Flexible Functions for Distance Correlation
Analysis

Variable Selection Algorithms Using the Distance Correlation

A Fast Implementation of Distance Covariance

Distance Covariance and Correlation for Time Series Analysis

Density Convoluted Support Vector Machines

Decision Curve Analysis for Model Evaluation