All packages

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diemr — 1.4.3

Diagnostic Index Expectation Maximisation in R

DIETCOST — 1.0.0.0

Calculate the Cost and Environmental Impact of a Ideal Diet

dietr — 1.1.6-1

Diet Estimated Trophic Levels

diezeit — 0.1-0

R Interface to the ZEIT ONLINE Content API

DIFboost — 0.3

Detection of Differential Item Functioning (DIF) in Rasch Models by Boosting Techniques

difconet — 1.0-4

Differential Coexpressed Networks

diffcor — 0.8.4

Fisher's z-Tests Concerning Differences Between Correlations

DiffCorr — 0.4.4

Analyzing and Visualizing Differential Correlation Networks in Biological Data

diffdf — 1.1.1

Dataframe Difference Tool

diffdfs — 0.9.0

Compute the Difference Between Data Frames

diffee — 1.1.0

Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure

diffEnrich — 0.1.2

Given a List of Gene Symbols, Performs Differential Enrichment Analysis

diffeqr — 2.1.0

Solving Differential Equations (ODEs, SDEs, DDEs, DAEs)

diffeR — 0.0-8

Metrics of Difference for Comparing Pairs of Maps or Pairs of Variables

diffeRenTES — 0.3.2

Computation of TES-Based Cell Differentiation Trees

diffIRT — 1.5

Diffusion IRT Models for Response and Response Time Data

diffmatchpatch — 0.1.0

String Diff, Match, and Patch Utilities

DiffNet — 1.0.2

Identifying Significant Node Scores using Network Diffusion Algorithm

diffobj — 0.3.6

Diffs for R Objects

diffpriv — 0.4.2

Easy Differential Privacy

diffr — 0.3.0

Display Differences Between Two Files using Codediff Library

diffusion — 0.4.0

Forecast the Diffusion of New Products

diffusionMap — 1.2.0

Diffusion Map

diffval — 1.1.0

Vegetation Patterns

diffviewer — 0.1.2

HTML Widget to Show File Differences

DiffXTables — 0.1.3

Pattern Analysis Across Contingency Tables

DIFlasso — 1.0-4

A Penalty Approach to Differential Item Functioning in Rasch Models

DIFM — 1.0

Dynamic ICAR Spatiotemporal Factor Models

difNLR — 1.5.1-1

DIF and DDF Detection by Non-Linear Regression Models

DIFplus — 1.1

Multilevel Mantel-Haenszel Statistics for Differential Item Functioning Detection

difR — 5.1

Collection of Methods to Detect Dichotomous Differential Item Functioning (DIF)

DIFshiny — 0.1.0

Differential Item Functioning via Shiny Application

DIFtree — 3.1.6

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

digest — 0.6.37

Create Compact Hash Digests of R Objects

digiRhythm — 2.4

Analyzing Animal's Rhythmicity

digitalPCR — 1.1.0

Estimate Copy Number for Digital PCR

digitize — 0.0.4

Use Data from Published Plots in R

digitTests — 0.1.2

Tests for Detecting Irregular Digit Patterns

DIGSS — 1.0.2

Determination of Intervals Using Georeferenced Survey Simulation

dilp — 1.1.0

Reconstruct Paleoclimate and Paleoecology with Leaf Physiognomy

DIME — 1.3.0

Differential Identification using Mixture Ensemble

dimensio — 0.13.0

Multivariate Data Analysis

dimensionsR — 0.0.3

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

DImodels — 1.3.2

Diversity-Interactions (DI) Models

DImodelsMulti — 1.1.1

Fit Multivariate Diversity-Interactions Models with Repeated Measures

DImodelsVis — 1.0.1

Visualising and Interpreting Statistical Models Fit to Compositional Data

DIMORA — 0.3.6

Diffusion Models R Analysis

dimRed — 0.2.7

A Framework for Dimensionality Reduction

dina — 2.0.0

Bayesian Estimation of DINA Model

dinamic — 1.0.1

A Method to Analyze Recurrent DNA Copy Number Aberrations in Tumors

DiNAMIC.Duo — 1.0.3

Finding Recurrent DNA Copy Number Alterations and Differences

dineq — 0.1.0

Decomposition of (Income) Inequality

dineR — 1.0.1

Differential Network Estimation in R

dint — 2.1.5

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

DiPALM — 1.2

Differential Pattern Analysis via Linear Modeling

DiPhiSeq — 0.2.0

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

dipm — 1.10

Depth Importance in Precision Medicine (DIPM) Method

DiPs — 0.6.4

Directional Penalties for Optimal Matching in Observational Studies

dipsaus — 0.3.1

A Dipping Sauce for Data Analysis and Visualizations

diptest — 0.77-1

Hartigan's Dip Test Statistic for Unimodality - Corrected

dipw — 0.1.0

Debiased Inverse Propensity Score Weighting

Dire — 2.2.0

Linear Regressions with a Latent Outcome Variable

DIRECT — 1.1.0

Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior

DirectedClustering — 1.0.0

Directed Weighted Clustering Coefficient

DirectEffects — 0.3

Estimating Controlled Direct Effects for Explaining Causal Findings

Directional — 7.1

A Collection of Functions for Directional Data Analysis

directlabels — 2024.1.21

Direct Labels for Multicolor Plots

directotree — 1.0.0

Creates an Interactive Tree Structure of a Directory

directPA — 1.5.1

Direction Analysis for Pathways and Kinases

DirectStandardisation — 1.3

Adjusted Means and Proportions by Direct Standardisation

dirichletprocess — 0.4.2

Build Dirichlet Process Objects for Bayesian Modelling

DirichletReg — 0.7-1

Dirichlet Regression

DIRMR — 0.5.0

Distributed Imputation for Random Effects Models with Missing Responses

dirmult — 0.1.3-5

Estimation in Dirichlet-Multinomial Distribution

DirStats — 0.1.10

Nonparametric Methods for Directional Data

dirttee — 1.0.2

Distributional Regression for Time to Event Data

disagg2 — 0.1.0

Support Functions for Time Series Analysis Book

disaggR — 1.0.5.3

Two-Steps Benchmarks for Time Series Disaggregation

DisaggregateTS — 3.0.1

High-Dimensional Temporal Disaggregation

disaggregation — 0.4.0

Disaggregation Modelling

disastr.api — 1.0.6

Wrapper for the UN OCHA ReliefWeb Disaster Events API

disbayes — 1.1.0

Bayesian Multi-State Modelling of Chronic Disease Burden Data

discAUC — 1.0.3

Linear and Non-Linear AUC for Discounting Data

DIscBIO — 1.2.2

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

discFA — 1.0.1

Discrete Factor Analysis

discfrail — 0.1

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

discharge — 1.0.0

Fourier Analysis of Discharge Data

disclap — 1.5.1

Discrete Laplace Exponential Family

disclapmix — 1.7.4

Discrete Laplace Mixture Inference using the EM Algorithm

disclapmix2 — 0.6.1

Mixtures of Discrete Laplace Distributions using Numerical Optimisation

disclosuR — 0.6.0

Text Conversion from Nexis Uni PDFs to R Data Frames

discnorm — 0.2.1

Test for Discretized Normality in Ordinal Data

discord — 1.2.3

Functions for Discordant Kinship Modeling

DiSCos — 0.1.1

Distributional Synthetic Controls Estimation

discourseGT — 1.2.0

Analyze Group Patterns using Graph Theory in Educational Settings

discoveR — 3.1.7

Exploratory Data Analysis System

discoverableresearch — 0.0.1

Checks Title, Abstract and Keywords to Optimise Discoverability

DiscreteDatasets — 0.1.2

Example Data Sets for Use with Discrete Statistical Tests

DiscreteDists — 1.0.0

Discrete Statistical Distributions

DiscreteDLM — 1.0.0

Bayesian Distributed Lag Model Fitting for Binary and Count Response Data

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