All packages

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degday — 0.4.0

Compute Degree Days

DEGRE — 0.2.0

Inferring Differentially Expressed Genes using Generalized Linear Mixed Models

degreenet — 1.3-5

Models for Skewed Count Distributions Relevant to Networks

degross — 0.9.0

Density Estimation from GROuped Summary Statistics

dejaVu — 0.3.0

Multiple Imputation for Recurrent Events

Delaporte — 8.4.0

Statistical Functions for the Delaporte Distribution

delayed — 0.5.0

A Framework for Parallelizing Dependent Tasks

DelayedEffect.Design — 1.1.3

Sample Size and Power Calculations using the APPLE, SEPPLE, APPLE+ and SEPPLE+ Methods

deldir — 2.0-4

Delaunay Triangulation and Dirichlet (Voronoi) Tessellation

Delta — 0.2.0.3

Measure of Agreement Between Two Raters

deltaccd — 1.0.2

Quantify Rhythmic Gene Co-Expression Relative to a Reference

DeltaMAN — 0.5.0

Delta Measurement of Agreement for Nominal Data

deltaPlotR — 1.6

Identification of Dichotomous Differential Item Functioning (DIF) using Angoff's Delta Plot Method

DELTD — 2.6.8

Kernel Density Estimation using Lifetime Distributions

DEM — 0.0.0.2

The Distributed EM Algorithms in Multivariate Gaussian Mixture Models

dematel — 0.1.0

Decision Making Trial and Evaluation Laboratory Technique in R

demic — 2.0.0

Dynamic Estimator of Microbial Communities

deming — 1.4

Deming, Theil-Sen, Passing-Bablock and Total Least Squares Regression

DemoDecomp — 1.0.1

Decompose Demographic Functions

demodelr — 1.0.1

Simulating Differential Equations with Data

demogR — 0.6.0

Analysis of Age-Structured Demographic Models

DemografixeR — 0.1.1

Extrapolate Gender, Age and Nationality of a Name

demoGraphic — 0.1.0

Providing Demographic Table with the P-Value, Standardized Mean Difference Value

DemographicTable — 0.1.8

Creating Demographic Table

demography — 2.0

Forecasting Mortality, Fertility, Migration and Population Data

demoKde — 1.0.1

Kernel Density Estimation for Demonstration Purposes

DemoKin — 1.0.3

Estimate Population Kin Distribution

demoShiny — 0.1

Runs a 'Shiny' App as Demo or Lists All Demo 'Shiny' Apps

DEMOVA — 1.0

DEvelopment (of Multi-Linear QSPR/QSAR) MOdels VAlidated using Test Set

demu — 0.3.0

Optimal Design Emulators via Point Processes

dendextend — 1.17.1

Extending 'dendrogram' Functionality in R

dendRoAnalyst — 0.1.5

A Tool for Processing and Analyzing Dendrometer Data

dendroextras — 0.2.3

Extra Functions to Cut, Label and Colour Dendrogram Clusters

dendrometry — 0.0.2

Forest Estimations and Dendrometric Computations

dendroNetwork — 0.5.4

Create Networks of Dendrochronological Series using Pairwise Similarity

DendroSync — 0.1.4

A Set of Tools for Calculating Spatial Synchrony Between Tree-Ring Chronologies

dendroTools — 1.2.13

Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data

DendSer — 1.0.2

Dendrogram Seriation: Ordering for Visualisation

dendsort — 0.3.4

Modular Leaf Ordering Methods for Dendrogram Nodes

denguedatahub — 1.0.4

A Tidy Format Datasets of Dengue by Country

denoiSeq — 0.1.1

Differential Expression Analysis Using a Bottom-Up Model

denoiseR — 1.0.2

Regularized Low Rank Matrix Estimation

denovolyzeR — 0.2.0

Statistical Analyses of De Novo Genetic Variants

denseFLMM — 0.1.2

Functional Linear Mixed Models for Densely Sampled Data

densEstBayes — 1.0-2.2

Density Estimation via Bayesian Inference Engines

densitr — 0.2

Analysing Density Profiles from Resistance Drilling of Trees

densityarea — 0.1.0

Polygons of Bivariate Density Distributions

densityClust — 0.3.3

Clustering by Fast Search and Find of Density Peaks

DensParcorr — 1.1

Dens-Based Method for Partial Correlation Estimation in Large Scale Brain Networks

densratio — 0.2.1

Density Ratio Estimation

denstrip — 1.5.4

Density Strips and Other Methods for Compactly Illustrating Distributions

denvax — 0.1.2

Simple Dengue Test and Vaccinate Cost Thresholds

DEoptim — 2.2-8

Global Optimization by Differential Evolution

DEoptimR — 1.1-3

Differential Evolution Optimization in Pure R

depcache — 0.1-2

Cache R Expressions, Taking Their Dependencies into Account

DepCens — 0.2.3

Dependent Censoring Regression Models

depcoeff — 0.0.1

Dependency Coefficients

depend.truncation — 3.0

Statistical Methods for the Analysis of Dependently Truncated Data

depigner — 0.9.1

A Utility Package to Help you Deal with "Pignas"

DepLogo — 1.2.1

Dependency Logo

depmix — 0.9.16

Dependent Mixture Models

depmixS4 — 1.5-0

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

DEPONS2R — 1.2.2

Read, Plot and Analyse Output from the DEPONS Model

deps — 0.2.0

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 — 4.1.3

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 — 0.5.2

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 — 0.99.54

Tools for Descriptive Statistics

DescToolsAddIns — 1.10

Interactive Functions to be Used as Shortcuts in 'RStudio'

deseats — 1.0.0

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

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