development

Deterministic Blockmodeling of Signed, One-Mode and Two-Mode Networks

Discrete Boosting Logistic Regression

Confidence Interval for Matrix Completion via De-Biased Estimator

Distribution-Based Model Selection

Distance-Based Measures of Spatial Structures

Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting

Rank Selection for Non-Negative Matrix Factorization

Dynamic Bayesian Network Learning and Inference

Drugs Databases Parser

Simplifies Plotting Data Inside Databases

A 'dplyr' Back End for Databases

Finite Sample Power Calculations for Detection Boundary Tests

Discrete Beta Regression

Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms

Distance-Based Statistics

Dada-BLAST-Taxon Assign-Condense Metabarcode Analysis

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

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

A Fast, Easy-to-Use Database Interface

Inferring Condition-Specific Networks via Differential Network Inference

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 C…

Fast Computation of Distance Correlations

Clustering Big Data using Expectation Maximization Star (EM*)

DCE Data Reshaping and Processing

Efficient and Accessible Discrete Choice Experiments

Data Cloud Geometry (DCG): Using Random Walks to Find Community Structure in Social Network Analys…

Chaotic Time Series Analysis

Methods for Reading dChip Files

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

Divisive Hierarchical Clustering

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

Hierarchical Models Made Easy with Data Cloning

Modify Data Using Externally Defined Modification Rules

List Linear n-Peptide Constraints for Overlapping Protein Regions

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

Dynamic Comparative Public Opinion

Nonparametric Regression and Bandwidth Selection for Spatial Models

Discrete Matrix/Tensor Decomposition

Dimension Reduction with Dynamic CUR

Utility Functions for Davidian Curves

Decision Curve Analysis for Model Evaluation

Depth-Based Classification and Calculation of Data Depth

Distance Density Clustering Algorithm

Diversity-Dependent Diversification

Solve Delay Differential Equations

Detailed Distributional Decomposition

Variance Stabilization by Data-Driven Haar-Fisz (for Microarrays)

The Data Defect Index for Samples that May not be IID

Data Driven I-v Feature Extraction

DDI with R

Doubly Debiased Lasso (DDL)

Death Registration Coverage Estimation

Double/Debiased Machine Learning

Distance & Density-Based Outlier Detection

Desirable Dietary Pattern

Diagonally Dominant Principal Component Analysis

Analysis and Visualization of Droplet Digital PCR in R and on the Web

Create D3 Based SVG Graphics

Data Sets for Discrete Probability Models

Disease-Drived Differential Proteins Co-Expression Network Analysis

Learning Principal Graphs with DDRTree

Data-Driven Sparse Partial Least Squares

Data Driven Smooth Tests

Latent Class Analysis with Dirichlet Diffusion Tree Process Prior

Statistical Deadband Algorithms Comparison

Learning Bayesian Networks with Mixed Variables

Conventional and Fuzzy Data Envelopment Analysis

A Post-Clustering Denoiser for COI-5P Barcode Data

Differential Evolution-Based Bayesian Inference

Duration Estimation for Biomarker Enrichment Studies and Trials

Efficient Inference on High-Dimensional Linear Model with Missing Outcomes

Bifurcation Analysis of Ordinary Differential Equation Systems

Bayesian Inference for Differential Equations