All packages

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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 — 7.13.11

A Pipeline Toolkit for Reproducible Computation at Scale

DramaAnalysis — 3.0.2

Analysis of Dramatic Texts

drape — 0.0.2

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 — 2.0.5

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 — 3.2.0

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

drhutools — 1.0.0

Political Science Academic Research Gears

DriftBurstHypothesis — 0.4.0.1

Calculates the Test-Statistic for the Drift Burst Hypothesis

dRiftDM — 0.2.1

Estimating (Time-Dependent) Drift Diffusion Models

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 — 2.3

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

drone — 1.0.0

Data for Data Visualisation Geometries Encyclopedia

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 — 1.0.2

Utility-Based Optimal Phase II/III Drug Development Planning

DrugExposureDiagnostics — 1.1.0

Diagnostics for OMOP Common Data Model Drug Records

drugprepr — 0.0.4

Prepare Electronic Prescription Record Data to Estimate Drug Exposure

drugsens — 0.1.0

Automated Analysis of 'QuPath' Output Data and Metadata Extraction

DrugSim2DR — 0.1.1

Predict Drug Functional Similarity to Drug Repurposing

DrugUtilisation — 0.8.2

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 — 0.1.5

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

dscoreMSM — 0.1.0

Survival Proximity Score Matching in Multi-State Survival Model

dsdp — 0.1.1

Density Estimation with Semidefinite Programming

dsem — 1.4.0

Fit Dynamic Structural Equation Models

DSI — 1.7.1

'DataSHIELD' Interface

dsims — 1.0.5

Distance Sampling Simulations

DSjobtracker — 2.0.0

What Skills and Qualifications are Required for Data Science Related Jobs?

DSL — 0.1-7

Distributed Storage and List

dslabs — 0.8.0

Data Science Labs

dsld — 0.2.2

Data Science Looks at Discrimination

dslice — 1.2.2

Dynamic Slicing

DSLite — 1.4.0

'DataSHIELD' Implementation on Local Datasets

dsm — 2.3.3

Density Surface Modelling of Distance Sampling Data

dsmisc — 0.3.3

Data Science Box of Pandora Miscellaneous

dsmmR — 1.0.5

Estimation and Simulation of Drifting Semi-Markov Models

DSMolgenisArmadillo — 2.0.9

'DataSHIELD' Client for 'MOLGENIS Armadillo'

dsmSearch — 1.1.1

DSM and LiDAR downloader

DSOpal — 1.4.0

'DataSHIELD' Implementation for 'Opal'

dsos — 0.1.2

Dataset Shift with Outlier Scores

DSpoty — 0.1.0

Get 'Spotify' API Multiple Information

dsrTest — 1.0.0

Tests and Confidence Intervals on Directly Standardized Rates for Several Methods

DSSAT — 0.0.9

A Comprehensive R Interface for the DSSAT Cropping Systems Model

dssd — 1.0.2

Distance Sampling Survey Design

DSSP — 0.1.1

Implementation of the Direct Sampling Spatial Prior

dst — 1.8.0

Using the Theory of Belief Functions

dstabledist — 0.1.0

The Discrete Stable Distribution Functions

DstarM — 0.4.0

Analyze Two Choice Reaction Time Data with the D*M Method

dstat — 1.0.4

Conditional Sensitivity Analysis for Matched Observational Studies

dstat2x2xk — 0.2.0

Demonstrated Insensitivity to Bias in 2x2xK Contingency Tables

dSTEM — 2.0-1

Multiple Testing of Local Extrema for Detection of Change Points

dsTidyverse — 1.0.1

'DataSHIELD' 'Tidyverse' Serverside Package

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