All packages

· A · B · C · D · E · F · G · H · I · J · K · L · M · N · O · P · Q · R · S · T · U · V · W · X · Y · Z ·

df2yaml — 0.3.1

Convert Dataframe to 'YAML'

DFA — 1.0.0

Detrended Fluctuation Analysis

DFA.CANCOR — 0.2.8

Linear Discriminant Function and Canonical Correlation Analysis

dfadjust — 1.0.5

Degrees of Freedom Adjustment for Robust Standard Errors

DFBA — 0.1.0

Distribution-Free Bayesian Analysis

dfcomb — 3.1-1

Phase I/II Adaptive Dose-Finding Design for Combination Studies

dfCompare — 1.0.0

Compare Two Dataframes and Return Adds, Changes, and Deletes

dfcrm — 0.2-2.1

Dose-Finding by the Continual Reassessment Method

DFD — 0.1.0

Extract Drugs from Differential Expression Data from LINCS Database

dfdr — 0.2.0

Automatic Differentiation of Simple Functions

dfexpand — 0.0.2

Automatically Expand Delimited Column Values into Multiple Binary Columns with 'dfexpand'

dfidx — 0.0-5

Indexed Data Frames

DFIT — 1.1

Differential Functioning of Items and Tests

dfmeta — 1.0.0

Meta-Analysis of Phase I Dose-Finding Early Clinical Trials

dfmirroR — 2.1.0

Simulate a Data Frame Mirroring an Input and Produce Shareable Simulation Code

dfms — 0.2.2

Dynamic Factor Models

dfmta — 1.7-3

Phase I/II Adaptive Dose-Finding Design for MTA

dfoliatR — 0.3.0

Detection and Analysis of Insect Defoliation Signals in Tree Rings

dfoptim — 2023.1.0

Derivative-Free Optimization

Dforest — 0.4.2

Decision Forest

dformula — 1.0

Data Manipulation using Formula

dfped — 1.1

Extrapolation and Bridging of Adult Information in Early Phase Dose-Finding Paediatrics Studies

dfphase1 — 1.2.0

Phase I Control Charts (with Emphasis on Distribution-Free Methods)

dfrr — 0.1.5

Dichotomized Functional Response Regression

dfsaneacc — 1.0.3

Accelerated Derivative-Free Method for Large-Scale Nonlinear Systems of Equations

dfvad — 0.3.6

Diewert and Fox's Method of Value Added Growth Decomposition

dga — 2.0.1

Capture-Recapture Estimation using Bayesian Model Averaging

dGAselID — 1.2

Genetic Algorithm with Incomplete Dominance for Feature Selection

DGEAR — 0.1.3

Differential Gene Expression Analysis with R

DGEobj — 1.1.2

Differential Gene Expression (DGE) Analysis Results Data Object

DGEobj.utils — 1.0.6

Differential Gene Expression (DGE) Analysis Utility Toolkit

dggridR — 3.0.0

Discrete Global Grids

dglars — 2.1.7

Differential Geometric Least Angle Regression

dglm — 1.8.6

Double Generalized Linear Models

DGLMExtPois — 0.2.3

Double Generalized Linear Models Extending Poisson Regression

DGM — 1.7.4

Dynamic Graphical Models

dgof — 1.4

Discrete Goodness-of-Fit Tests

DGP4LCF — 1.0.0

Dependent Gaussian Processes for Longitudinal Correlated Factors

dgpsi — 2.4.0

Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations

dgumbel — 1.0.1

The Gumbel Distribution Functions and Gradients

DHARMa — 0.4.6

Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models

DHBins — 1.1

Hexmaps for NZ District Health Boards

dhga — 0.1

Differential Hub Gene Analysis

dhglm — 2.0

Double Hierarchical Generalized Linear Models

dhh — 0.0.1

A Heavy-Headed Distribution

dhlabR — 1.0.2

National Library of Norway Quantitative Text Data API Tools

DHS.rates — 0.9.2

Calculates Demographic Indicators

dhsage — 0.1.0

Reproductive Age Female Data of Various Demographic Health Surveys

dHSIC — 2.1

Independence Testing via Hilbert Schmidt Independence Criterion

di — 1.1.4

Deficit Index (DI)

diagis — 0.2.3

Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling

diagL1 — 1.0.0

Routines for Fit, Inference and Diagnostics in Linear L1 and LAD Models

diagmeta — 0.5-1

Meta-Analysis of Diagnostic Accuracy Studies with Several Cutpoints

diagonals — 6.4.0

Block Diagonal Extraction or Replacement

diagram — 1.6.5

Functions for Visualising Simple Graphs (Networks), Plotting Flow Diagrams

DiagrammeR — 1.0.11

Graph/Network Visualization

DiagrammeRsvg — 0.1

Export DiagrammeR Graphviz Graphs as SVG

DiallelAnalysisR — 0.5.0

Diallel Analysis with R

dialr — 0.4.2

Parse, Format, and Validate International Phone Numbers

dialrjars — 8.13.36

Required 'libphonenumber' jars for the 'dialr' Package

dials — 1.2.1

Tools for Creating Tuning Parameter Values

diaplt — 1.4.0

Beads Summary Plot of Ranges

diathor — 0.1.0

Calculate Ecological Information and Diatom Based Indices

dibble — 0.2.2

Dimensional Data Frames

dice — 1.2

Calculate probabilities of various dice-rolling events

DiceDesign — 1.10

Designs of Computer Experiments

DiceEval — 1.6.1

Construction and Evaluation of Metamodels

DiceKriging — 1.6.0

Kriging Methods for Computer Experiments

DiceOptim — 2.1.1

Kriging-Based Optimization for Computer Experiments

diceR — 2.2.0

Diverse Cluster Ensemble in R

DiceView — 2.2-0

Methods for Visualization of Computer Experiments Design and Surrogate

dichromat — 2.0-0.1

Color Schemes for Dichromats

DICOMread — 0.0.0.3

Reading and Saving DICOM Image Files

DIconvex — 1.0.0

Finding Patterns of Monotonicity and Convexity in Data

Dict — 0.1.0

R6 Based Key-Value Dictionary Implementation

dictionar6 — 0.1.3

R6 Dictionary Interface

dictionaRy — 0.1.1

Retrieve the Dictionary Definitions of English Words

did — 2.1.2

Treatment Effects with Multiple Periods and Groups

did2s — 1.0.2

Two-Stage Difference-in-Differences Following Gardner (2021)

DidacticBoost — 0.1.1

A Simple Implementation and Demonstration of Gradient Boosting

Diderot — 0.13

Bibliographic Network Analysis

DiDforBigData — 1.0

A Big Data Implementation of Difference-in-Differences Estimation with Staggered Treatment

didimputation — 0.3.0

Imputation Estimator from Borusyak, Jaravel, and Spiess (2021)

DIDmultiplegt — 0.1.4

Estimation in DID with Multiple Groups and Periods

DIDmultiplegtDYN — 1.0.11

Estimation in Difference-in-Difference Designs with Multiple Groups and Periods

didrooRFM — 1.0.0

Compute Recency Frequency Monetary Scores for your Customer Data

diemr — 1.3

Diagnostic Index Expectation Maximisation in R

dietr — 1.1.4

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 — 0.8.3

Fisher's z-Tests Concerning Differences Between Correlations

DiffCorr — 0.4.3

Analyzing and Visualizing Differential Correlation Networks in Biological Data

diffdf — 1.0.4

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 — 2.0.1

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

Next page