development

Directed Weighted Clustering Coefficient

Estimating Controlled Direct Effects for Explaining Causal Findings

Direct Labels for Multicolor Plots

Creates an Interactive Tree Structure of a Directory

Direction Analysis for Pathways and Kinases

Adjusted Means and Proportions by Direct Standardisation

Build Dirichlet Process Objects for Bayesian Modelling

Dirichlet Regression

"Dirichlet Random Forest"

Directional Metropolis Hastings Algorithm

Distributed Imputation for Random Effects Models with Missing Responses

Estimation in Dirichlet-Multinomial Distribution

Nonparametric Methods for Directional Data

Distributional Regression for Time to Event Data

Support Functions for Time Series Analysis Book

Two-Steps Benchmarks for Time Series Disaggregation

High-Dimensional Temporal Disaggregation

Disaggregation Modelling

Autoregressive Integrated Moving Average (ARIMA)

Disaster Alert and Sentiment Analysis

Bayesian Multi-State Modelling of Chronic Disease Burden Data

Linear and Non-Linear AUC for Discounting Data

A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics

Discrete Factor Analysis

Cox Models for Time-to-Event Data with Nonparametric Discrete Group-Specific Frailties

Fourier Analysis of Discharge Data

Discrete Laplace Exponential Family

Discrete Laplace Mixture Inference using the EM Algorithm

Mixtures of Discrete Laplace Distributions using Numerical Optimisation

Text Conversion from Nexis Uni PDFs to R Data Frames

Test for Discretized Normality in Ordinal Data

Implementation of the DISCO Metric for Internal Clustering Evaluation

Functions for Discordant Kinship Modeling

Distributional Synthetic Controls Estimation

Analyze Group Patterns using Graph Theory in Educational Settings

Exploratory Data Analysis System

Checks Title, Abstract and Keywords to Optimise Discoverability

Interactive Tutorials and Data for "Discovering Statistics Using R and RStudio"

Coordinate-Descent Algorithm for Learning Sparse Discrete Bayesian Networks

Example Data Sets for Use with Discrete Statistical Tests

Discrete Statistical Distributions

Bayesian Distributed Lag Model Fitting for Binary and Count Response Data

FDR Based Multiple Testing Procedures with Adaptation for Discrete Tests

Simulated Goodness-of-Fit Tests for Discrete Distributions

FWER-Based Multiple Testing Procedures with Adaptation for Discrete Tests

An Extension of the Gap Statistic for Ordinal/Categorical Data

Discrete Inverse Weibull Distribution

Discrete Laplace Distributions

Improved q-Values for Discrete Uniform and Homogeneous Tests

Create and Manipulate Discrete Random Variables

Discrete Numeric Series

Discrete Weibull Distributions (Type 1 and 3)

Data Preprocessing, Discretization for Classification

Model Wrappers for Discriminant Analysis

A Companion Package for the Book "Discrete Choice Analysis with 'R'"

Discrete Time Survival Analysis

Measuring Discursive Sophistication in Open-Ended Survey Responses

Data for Comparing Species Distribution Modeling Methods

Modelling Spatial Variation in Disease Risk for Areal Data

Feature Stores for the 'diseasy' Framework

Estimate the Gene Expression Levels and Component Proportions of the Normal, Stroma (Immune) and T…

Calculate Dissimilarity Matrix for Dataset with Mixed Attributes

Calculates Disproportionate Impact When Binary Success Data are Disaggregated by Subgroups

Species Distribution Modeling

Non-Ordered Vectors

Disparity Filter Algorithm for Weighted Networks

Simulation of Demic Diffusion with Environmental Constraints

Indicators for the Analysis of Dispersion of Datasets with Batched and Ordered Samples

Numeric and Color Sequences with Non-Linear Interpolation

Modelling Dispersion in GLM

Create Disposable R Packages for Testing

Analysis of Disposition Effect on Financial Portfolios

Measuring Disparity

Non-Parametric Dissolution Profile Analysis

Discriminating Probes Selection

Multiple Assemblage Dissimilarity for Orders q = 0-N

Spatial Downscaling using the Dissever Algorithm

Creating, Manipulating, and Subsetting "dist" Objects

Fitting Sample Selection Models for Discrete Response Variables

Distance Sampling Detection Function and Abundance Estimation

Distance Metrics for High-Dimensional Clustering