All packages

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DepLogo — 1.2.1

Dependency Logo

DEploid — 0.5.4

Deconvolute Mixed Genomes with Unknown Proportions

depmixS4 — 1.5-0

Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4

DEPONS2R — 1.2.3

Read, Plot and Analyse Output from the DEPONS Model

deps — 0.4.0

Dependency Management with 'roxygen'-Style Comments

depth.plot — 0.1

Multivariate Analogy of Quantiles

DepthProc — 2.1.5

Statistical Depth Functions for Multivariate Analysis

depthTools — 0.7

Depth Tools Package

DeRezende.Ferreira — 0.1.0

Zero Coupon Yield Curve Modelling

Deriv — 4.1.6

Symbolic Differentiation

derivmkts — 0.2.5

Functions and R Code to Accompany Derivatives Markets

DES — 1.0.0

Discrete Event Simulation

desc — 1.4.3

Manipulate DESCRIPTION Files

descomponer — 1.6

Seasonal Adjustment by Frequency Analysis

descr — 1.1.8

Descriptive Statistics

describedata — 0.1.0

Miscellaneous Descriptive Functions

DescribeDF — 0.2.1

Description of a Data Frame

DescribeDisplay — 0.2.11

An Interface to the 'DescribeDisplay' 'GGobi' Plugin

describer — 0.2.0

Describe Data in R Using Common Descriptive Statistics

descriptio — 1.3

Descriptive Statistical Analysis

DescriptiveRepresentationCalculator — 1.0.0

Descriptive Representation Calculator: Characterizing Observed and Expected Representation

DescriptiveStats.OBeu — 1.3.2

Descriptive Statistics 'OpenBudgets.eu'

DescriptiveWH — 1.0.3

Descriptive Statistics

descriptr — 0.6.0

Generate Descriptive Statistics

DescrTab2 — 2.1.16

Publication Quality Descriptive Statistics Tables

descstat — 0.1-2

Tools for Descriptive Statistics

descstatsr — 0.1.0

Descriptive Univariate Statistics

desctable — 0.3.0

Produce Descriptive and Comparative Tables Easily

DescTools — 0.99.58

Tools for Descriptive Statistics

DescToolsAddIns — 1.12

Interactive Functions to be Used as Shortcuts in 'RStudio'

deseats — 1.1.0

Data-Driven Locally Weighted Regression for Trend and Seasonality in TS

Design.parameters — 0.1.0

Parameters of the Experimental Designs

DesignCTPB — 1.1.3

Design Clinical Trials with Potential Biomarker Effect

designer — 0.3.0

'Shiny' UI Prototype Builder

designit — 0.5.0

Blocking and Randomization for Experimental Design

DesignLibrary — 0.1.10

Library of Research Designs

designmatch — 0.5.4

Matched Samples that are Balanced and Representative by Design

designr — 0.1.13

Balanced Factorial Designs

designsize — 0.1.0

Sample Size Calculation of Various Study Designs

desiR — 1.2.2

Desirability Functions for Ranking, Selecting, and Integrating Data

desirability — 2.1

Function Optimization and Ranking via Desirability Functions

desirability2 — 0.0.1

Desirability Functions for Multiparameter Optimization

desk — 1.1.1

Didactic Econometrics Starter Kit

desla — 0.3.0

Desparsified Lasso Inference for Time Series

deSolve — 1.40

Solvers for Initial Value Problems of Differential Equations ('ODE', 'DAE', 'DDE')

despair — 0.1.1

Motivational Quotes and Shakespearean Bard–bits for Personal Projects

desplot — 1.10

Plotting Field Plans for Agricultural Experiments

details — 0.3.0

Create Details HTML Tag for Markdown and Package Documentation

detect — 0.4-6

Analyzing Wildlife Data with Detection Error

detectnorm — 1.0.0

Detect Nonnormality in Meta-Analysis without Raw Data

detector — 0.1.0

Detect Data Containing Personally Identifiable Information

detectors — 0.1.0

Prediction Data from GPT Detectors

detectR — 0.3.0

Change Point Detection

detectRUNS — 0.9.6

Detect Runs of Homozygosity and Runs of Heterozygosity in Diploid Genomes

detectseparation — 0.3

Detect and Check for Separation and Infinite Maximum Likelihood Estimates

DetLifeInsurance — 0.1.3

Life Insurance Premium and Reserves Valuation

DetMCD — 0.0.5

Implementation of the DetMCD Algorithm (Robust and Deterministic Estimation of Location and Scatter)

detourr — 0.1.0

Portable and Performant Tour Animations

detpack — 1.1.3

Density Estimation and Random Number Generation with Distribution Element Trees

DetR — 0.0.5

Suite of Deterministic and Robust Algorithms for Linear Regression

detrendeR — 1.0.5

A Graphical User Interface (GUI) to Visualize and Analyze Dendrochronological Data

detrendr — 0.6.15

Detrend Images

deTS — 1.0

Tissue-Specific Enrichment Analysis

detzrcr — 0.3.1

Compare Detrital Zircon Suites

devEMF — 4.5

EMF Graphics Output Device

devFunc — 0.1

Clear and Condense Argument Check for User-Defined Functions

devoid — 0.1.2

A Graphic Device that Does Nothing

Devore7 — 0.7.6

Data sets from Devore's "Prob and Stat for Eng (7th ed)"

devRate — 0.2.4

Quantify the Relationship Between Development Rate and Temperature in Ectotherms

devtools — 2.4.5

Tools to Make Developing R Packages Easier

DevTreatRules — 1.1.0

Develop Treatment Rules with Observational Data

DEXiR — 1.0.2

'DEXi' Library

dexisensitivity — 1.0.1

'DEXi' Decision Tree Analysis and Visualization

dexter — 1.5.0

Data Management and Analysis of Tests

dextergui — 0.2.6

A Graphical User Interface for Dexter

dexterMST — 0.9.6

CML and Bayesian Calibration of Multistage Tests

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 — 3.1-4

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 — 0.2.0

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 — 0.1-0

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 — 1.7-6

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

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