development

Chaotic Time Series Analysis

Methods for Reading dChip Files

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

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

Density Convoluted Support Vector Machines

Discrete Matrix/Tensor Decomposition

Dimension Reduction with Dynamic CUR

Utility Functions for Davidian Curves

Decision Curve Analysis for Model Evaluation

Direction Dependence Analysis

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

Density Regression via Dirichlet Process Mixtures of Normal Structured Additive Regression Models

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

Pipeline for Debiased Target Trial Emulation

Efficient Inference on High-Dimensional Linear Model with Missing Outcomes

Bifurcation Analysis of Ordinary Differential Equation Systems

Bayesian Inference for Differential Equations

Analysis of Non-Decimal Currencies and Double-Entry Bookkeeping

Box-Plots and Outlier Detection for Probability Density Functions

Debug R Packages

Debug Tool to Watch Objects/Expressions While Running an R Script

Detecting Changes in Autocorrelated and Fluctuating Signals

DEComposition of Indirect and Direct Effects

Bindings for 'Mapbox' Ear Cutting Triangulation Library

Statistical Decision Analysis

Quantitative Support of Decision Making under Uncertainty

An R Interface to 'deck.gl'

Functions for Declared Missing Values

Declare and Diagnose Research Designs

Differential Co-Expression and Differential Expression Analysis

Decode Coded Variables to Plain Text and the Other Way Around

Decomposition Based Deep Learning Models for Time Series Forecasting

Decomposition Based Machine Learning Model

Time Series Prediction with PSF and Decomposition Methods (EMD and EEMD)

Empirical Mode Decomposition for Cyclostratigraphy

Global Value Chain Decomposition

Deconvolution Estimation in Measurement Error Models

Identifies Signatures Present in a Tumor Sample