All packages

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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 — 2.3

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 — 0.10.0

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 — 0.2.6

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 — 1.0.2

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 — 2.1.4

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 — 1.9

Depth Importance in Precision Medicine (DIPM) Method

DiPs — 0.6.4

Directional Penalties for Optimal Matching in Observational Studies

dipsaus — 0.2.9

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 — 6.9

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

dirmcmc — 1.3.3

Directional Metropolis Hastings Algorithm

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

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 — 1.1.0

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 — 3.1.2

Exploratory Data Analysis System

discoverableresearch — 0.0.1

Checks Title, Abstract and Keywords to Optimise Discoverability

DiscreteDatasets — 0.1.1

Example Data Sets for Use with Discrete Statistical Tests

DiscreteDists — 1.0.0

Discrete Statistical Distributions

DiscreteFDR — 2.0.1

FDR Based Multiple Testing Procedures with Adaptation for Discrete Tests

discretefit — 0.1.2

Simulated Goodness-of-Fit Tests for Discrete Distributions

DiscreteGapStatistic — 0.1.0

An Extension of the Gap Statistic for Ordinal/Categorical Data

DiscreteInverseWeibull — 1.0.2

Discrete Inverse Weibull Distribution

DiscreteLaplace — 1.1.1

Discrete Laplace Distributions

DiscreteQvalue — 1.1

Improved q-Values for Discrete Uniform and Homogeneous Tests

DiscreteTests — 0.2.1

Vectorised Computation of P-Values and Their Supports for Several Discrete Statistical Tests

DiscreteWeibull — 1.1

Discrete Weibull Distributions (Type 1 and 3)

discretization — 1.0-1.1

Data Preprocessing, Discretization for Classification

discrim — 1.0.1

Model Wrappers for Discriminant Analysis

discrtr — 0.0.1

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

discSurv — 2.0.0

Discrete Time Survival Analysis

discursive — 0.1.1

Measuring Discursive Sophistication in Open-Ended Survey Responses

disdat — 1.0-1

Data for Comparing Species Distribution Modeling Methods

diseasemapping — 2.0.6

Modelling Spatial Variation in Disease Risk for Areal Data

diseasystore — 0.2.2

Feature Stores for the 'diseasy' Framework

DisHet — 1.0.0

Estimate the Gene Expression Levels and Component Proportions of the Normal, Stroma (Immune) and Tumor Components of Bulk Tumor Samples

DisimForMixed — 0.2

Calculate Dissimilarity Matrix for Dataset with Mixed Attributes

DisImpact — 0.0.21

Calculates Disproportionate Impact When Binary Success Data are Disaggregated by Subgroups

disk.frame — 0.8.3

Larger-than-RAM Disk-Based Data Manipulation Framework

dismo — 1.3-14

Species Distribution Modeling

disordR — 0.9-8-4

Non-Ordered Vectors

disparityfilter — 2.2.3

Disparity Filter Algorithm for Weighted Networks

dispeRse — 1.1

Simulation of Demic Diffusion with Environmental Constraints

dispmod — 1.2

Modelling Dispersion in GLM

disposables — 1.0.3

Create Disposable R Packages for Testing

dispositionEffect — 1.0.1

Analysis of Disposition Effect on Financial Portfolios

dispRity — 1.9

Measuring Disparity

disprofas — 0.2.0

Non-Parametric Dissolution Profile Analysis

disprose — 0.1.6

Discriminating Probes Selection

dissCqN — 0.1.0

Multiple Assemblage Dissimilarity for Orders q = 0-N

dissever — 0.2-3

Spatial Downscaling using the Dissever Algorithm

DiSSMod — 1.0.0

Fitting Sample Selection Models for Discrete Response Variables

Distance — 2.0.0

Distance Sampling Detection Function and Abundance Estimation

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