development

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

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

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

Empirical Bayes Estimation Strategies

Retrieve Code Decorations

Fit and Deploy DECORATE Trees

Extend the Behaviour of a Function without Explicitly Modifying it

A Data Analysis GUI for R

Deductive Correction, Deductive Imputation, and Deterministic Correction

Data Correction and Imputation Using Deductive Methods

Deductive Rational Method

Making "Deduplicated" Functions

Deduplication Across Multiple Columns

A Neural Networks Framework

Visualise and Explore the Deep Dependencies of R Packages

Deep Learning for General Purpose

Deep Gaussian Mixture Models

Bayesian Deep Gaussian Processes using MCMC

Causal Inference with Super Learner and Deep Neural Networks

Interface to the 'DeepL' Translation API

Clustering of Short Texts by Mixture of Unigrams and Its Deep Extensions

Deep Learning Toolkit in R

Deep Learning

Deep Learning Prediction of Effectors

Fitting Deep Distributional Regression

Seamless Language Translation in 'RStudio' using 'DeepL' API and 'Rstudioapi'

Plotting Tools for Anyone Working in Deep Time

Fitting Deep Conditional Transformation Models

Differential Expression Enrichment Tool

Density Estimation by Extreme Value Distributions

Change the Default Arguments in R Functions

Define and Parse Command Line Options