All packages

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dowser — 2.3

B Cell Receptor Phylogenetics Toolkit

DOYPAColors — 0.0.2

Don't Overthink Your Palette of Colors

dparser — 1.3.1-13

Port of 'Dparser' Package

dpasurv — 0.1.0

Dynamic Path Analysis of Survival Data via Aalen's Additive Hazards Model

DPBBM — 0.2.5

Dirichlet Process Beta-Binomial Mixture

dpcc — 1.0.0

Dynamic Programming for Convex Clustering

dPCP — 2.0.1

Automated Analysis of Multiplex Digital PCR Data

Dpit — 1.0

Distribution Pitting

dpkg — 0.6.0

Create, Stow, and Read Data Packages

dplR — 1.7.7

Dendrochronology Program Library in R

dplyr — 1.1.4

A Grammar of Data Manipulation

dplyrAssist — 0.1.0

RStudio Addin for Teaching and Learning Data Manipulation Using 'dplyr'

dpm — 1.2.0

Dynamic Panel Models Fit with Maximum Likelihood

dpmr — 0.1.9

Data Package Manager for R

DPP — 0.1.2

Inference of Parameters of Normal Distributions from a Mixture of Normals

DPpack — 0.2.2

Differentially Private Statistical Analysis and Machine Learning

dppmix — 0.1.1

Determinantal Point Process Mixture Models

DPQ — 0.5-9

Density, Probability, Quantile ('DPQ') Computations

DPQmpfr — 0.3-3

DPQ (Density, Probability, Quantile) Distribution Computations using MPFR

dprop — 0.1.0

Computation of Some Important Distributional Properties

dpseg — 0.1.1

Piecewise Linear Segmentation by Dynamic Programming

DPTM — 1.5.0

Dynamic Panel Multiple Threshold Model with Fixed Effects

DPtree — 1.0.1

Dirichlet-Based Polya Tree

DQAgui — 0.2.4

Graphical User Interface for Data Quality Assessment

DQAstats — 0.3.5

Core Functions for Data Quality Assessment

dqrng — 0.4.1

Fast Pseudo Random Number Generators

dQTG.seq — 1.0.2

A BSA Software for Detecting All Types of QTLs in BC, DH, RIL and F2

dr — 3.0.10

Methods for Dimension Reduction for Regression

DR.SC — 3.4

Joint Dimension Reduction and Spatial Clustering

dr4pl — 2.0.0

Dose Response Data Analysis using the 4 Parameter Logistic (4pl) Model

dracor — 0.2.6

Decode Draco Format 3D Mesh Data

dragonking — 0.1.0

Statistical Tools to Identify Dragon Kings

dragracer — 0.1.7

Data Sets for RuPaul's Drag Race

dragulaR — 0.3.1

Drag and Drop Elements in 'Shiny' using 'Dragula Javascript Library'

drake — 7.13.10

A Pipeline Toolkit for Reproducible Computation at Scale

DramaAnalysis — 3.0.2

Analysis of Dramatic Texts

drape — 0.0.1

Doubly Robust Average Partial Effects

drat — 0.2.5

'Drat' R Archive Template

draw — 1.0.0

Wrapper Functions for Producing Graphics

drawer — 0.2.0.1

An Interactive HTML Image Editing Tool

DRaWR — 1.0.3

Discriminative Random Walk with Restart

drawsample — 1.0.1

Draw Samples with the Desired Properties from a Data Set

DRAYL — 1.0

Computation of Rayleigh Densities of Arbitrary Dimension

DrBats — 0.1.6

Data Representation: Bayesian Approach That's Sparse

drc — 3.0-1

Analysis of Dose-Response Curves

drcarlate — 1.2.0

Improving Estimation Efficiency in CAR with Imperfect Compliance

drclust — 0.1

Simultaneous Clustering and (or) Dimensionality Reduction

drcSeedGerm — 1.0.1

Utilities for Data Analyses in Seed Germination/Emergence Assays

drcte — 1.0.30

Statistical Approaches for Time-to-Event Data in Agriculture

drda — 2.0.4

Dose-Response Data Analysis

DRDID — 1.2.0

Doubly Robust Difference-in-Differences Estimators

DrDimont — 0.1.4

Drug Response Prediction from Differential Multi-Omics Networks

DRDRtest — 0.1

A Nonparametric Doubly Robust Test for Continuous Treatment Effect

dreamer — 3.1.0

Dose Response Models for Bayesian Model Averaging

dreamerr — 1.4.0

Error Handling Made Easy

DREGAR — 0.1.3.0

Regularized Estimation of Dynamic Linear Regression in the Presence of Autocorrelated Residuals (DREGAR)

drf — 1.1.0

Distributional Random Forests

drgee — 1.1.10

Doubly Robust Generalized Estimating Equations

drglm — 1.1

Fitting Linear and Generalized Linear Models in "Divide and Recombine" Approach to Large Data Sets

DRHotNet — 2.3

Differential Risk Hotspots in a Linear Network

drhur — 1.1.0

Learning R with Dr. Hu

DriftBurstHypothesis — 0.4.0.1

Calculates the Test-Statistic for the Drift Burst Hypothesis

drifter — 0.2.1

Concept Drift and Concept Shift Detection for Predictive Models

DrillR — 0.1

R Driver for Apache Drill

drimmR — 1.0.1

Estimation, Simulation and Reliability of Drifting Markov Models

DrImpute — 1.0

Imputing Dropout Events in Single-Cell RNA-Sequencing Data

DRIP — 2.0

Discontinuous Regression and Image Processing

driveR — 0.4.1

Prioritizing Cancer Driver Genes Using Genomics Data

droll — 0.1.0

Analyze Roll Distributions

DRomics — 2.6-2

Dose Response for Omics

dropout — 2.2.0

Handling Incomplete Responses in Survey Data Analysis

dropR — 1.0.3

Dropout Analysis by Condition

droptest — 0.1.3

Simulates LOX Drop Testing

drord — 1.0.1

Doubly-Robust Estimators for Ordinal Outcomes

drought — 1.2

Statistical Modeling and Assessment of Drought

drpop — 0.0.3

Efficient and Doubly Robust Population Size Estimation

DRquality — 0.2.1

Quality Measurements for Dimensionality Reduction

DRR — 0.0.4

Dimensionality Reduction via Regression

drtmle — 1.1.2

Doubly-Robust Nonparametric Estimation and Inference

drugDemand — 0.1.3

Drug Demand Forecasting

drugdevelopR — 1.0.1

Utility-Based Optimal Phase II/III Drug Development Planning

DrugExposureDiagnostics — 1.0.9

Diagnostics for OMOP Common Data Model Drug Records

drugprepr — 0.0.4

Prepare Electronic Prescription Record Data to Estimate Drug Exposure

DrugSim2DR — 0.1.1

Predict Drug Functional Similarity to Drug Repurposing

DrugUtilisation — 0.7.1

Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model

drumr — 0.1.0

Turn R into a Drum Machine

DRviaSPCN — 0.1.4

Drug Repurposing in Cancer via a Subpathway Crosstalk Network

ds — 4.0

Descriptive Statistics

ds4psy — 1.0.0

Data Science for Psychologists

dsa — 1.0.12

Seasonal Adjustment of Daily Time Series

DSAIDE — 0.9.6

Dynamical Systems Approach to Infectious Disease Epidemiology (Ecology/Evolution)

DSAIRM — 0.9.6

Dynamical Systems Approach to Immune Response Modeling

DSAM — 1.0.2

Data Splitting Algorithms for Model Developments

dsample — 0.91.3.4

Discretization-Based Direct Random Sample Generation

dsb — 1.0.4

Normalize & Denoise Droplet Single Cell Protein Data (CITE-Seq)

DSBayes — 2023.1.0

Bayesian Subgroup Analysis in Clinical Trials

dscore — 1.9.0

D-Score for Child Development

dsdp — 0.1.1

Density Estimation with Semidefinite Programming

dsem — 1.3.0

Fit Dynamic Structural Equation Models

DSI — 1.7.1

'DataSHIELD' Interface

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