rPackages

Dynamic ICAR Spatiotemporal Factor Models

DIF and DDF Detection by Non-Linear Regression Models

Multilevel Mantel-Haenszel Statistics for Differential Item Functioning Detection

Collection of Methods to Detect Dichotomous, Polytomous, and Continuous Differential Item Function…

Differential Item Functioning via Shiny Application

Item Focussed Trees for the Identification of Items in Differential Item Functioning

Create Compact Hash Digests of R Objects

A Curated Collection of Digestive System and Gastrointestinal Disease Datasets

Analyzing Animal's Rhythmicity

Deconvolution of Bulk RNA-Seq Data Based on Deep Learning

Estimate Copy Number for Digital PCR

Use Data from Published Plots in R

Tests for Detecting Irregular Digit Patterns

Determination of Intervals Using Georeferenced Survey Simulation

Reconstruct Paleoclimate and Paleoecology with Leaf Physiognomy

Differential Identification using Mixture Ensemble

Multivariate Data Analysis

Gathering Bibliographic Records from 'Digital Science Dimensions' Using 'DSL' API

Spacing Tests for Multi-Modality

Diversity-Interactions (DI) Models

Fit Multivariate Diversity-Interactions Models with Repeated Measures

Visualising and Interpreting Statistical Models Fit to Compositional Data

Diffusion Models R Analysis

A Framework for Dimensionality Reduction

Bayesian Estimation of DINA Model

A Method to Analyze Recurrent DNA Copy Number Aberrations in Tumors

Decomposition of (Income) Inequality

Differential Network Estimation in R

A Toolkit for Year-Quarter, Year-Month and Year-Isoweek Dates

Differential Pattern Analysis via Linear Modeling

Robust Tests for Differential Dispersion and Differential Expression in RNA-Sequencing Data

Depth Importance in Precision Medicine (DIPM)

Conduct Direction-Projection-Permutation Tests and Display Plots

Directional Penalties for Optimal Matching in Observational Studies

Hartigan's Dip Test Statistic for Unimodality - Corrected

Debiased Inverse Propensity Score Weighting

Convert Directory to JSON

Linear Regressions with a Latent Outcome Variable

Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior

Directly Adjusted Estimates

Direct Age Standardisation with Confidence Intervals

Directed Weighted Clustering Coefficient

Estimating Controlled Direct Effects for Explaining Causal Findings

A Collection of Functions for Directional Data Analysis

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

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

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