All packages

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DecorateR — 0.1.2

Fit and Deploy DECORATE Trees

decorators — 0.3.0

Extend the Behaviour of a Function without Explicitly Modifying it

decp — 0.1.2

Complete Change Point Analysis

Deducer — 0.7-9

A Data Analysis GUI for R

deducorrect — 1.3.7

Deductive Correction, Deductive Imputation, and Deterministic Correction

deductive — 1.0.0

Data Correction and Imputation Using Deductive Methods

DeductiveR — 1.0.0

Deductive Rational Method

deduped — 0.2.0

Making "Deduplicated" Functions

dedupewider — 0.1.0

Deduplication Across Multiple Columns

deep — 0.1.0

A Neural Networks Framework

deepdep — 0.4.3

Visualise and Explore the Deep Dependencies of R Packages

deepdive — 1.0.4

Deep Learning for General Purpose

deepgmm — 0.2.1

Deep Gaussian Mixture Models

deepgp — 1.1.3

Bayesian Deep Gaussian Processes using MCMC

DeepLearningCausal — 0.0.104

Causal Inference with Super Learner and Deep Neural Networks

deeplr — 2.0.1

Interface to the 'DeepL' Translation API

deepMOU — 0.1.1

Clustering of Short Texts by Mixture of Unigrams and Its Deep Extensions

deepnet — 0.2.1

Deep Learning Toolkit in R

deepNN — 1.2

Deep Learning

deepredeff — 0.1.1

Deep Learning Prediction of Effectors

deepregression — 1.0.0

Fitting Deep Distributional Regression

deepRstudio — 0.0.9

Seamless Language Translation in 'RStudio' using 'DeepL' API and 'Rstudioapi'

deeptime — 2.1.0

Plotting Tools for Anyone Working in Deep Time

deeptimedata — 1.0.0

Geologic Pattern Data from FGDC Used in 'deeptime'

deeptrafo — 0.1-1

Fitting Deep Conditional Transformation Models

DEET — 1.0.12

Differential Expression Enrichment Tool

DEEVD — 1.2.3

Density Estimation by Extreme Value Distributions

default — 1.0.0

Change the Default Arguments in R Functions

defineOptions — 0.9

Define and Parse Command Line Options

defineR — 0.0.4

Creates Define XML Documents

deFit — 0.3.0

Fitting Differential Equations to Time Series Data

deflateBR — 1.1.2

Deflate Nominal Brazilian Reais

deflist — 0.2.0

Deferred List - A Read-Only List-Like Object with Deferred Access

deforestable — 3.1.1

Classify RGB Images into Forest or Non-Forest

deform — 1.0.0

Spatial Deformation and Dimension Expansion Gaussian Processes

deformula — 0.1.2

Integration of One-Dimensional Functions with Double Exponential Formulas

degday — 0.4.0

Compute Degree Days

DEGRE — 0.2.0

Inferring Differentially Expressed Genes using Generalized Linear Mixed Models

degreenet — 1.3-6

Models for Skewed Count Distributions Relevant to Networks

degross — 0.9.0

Density Estimation from GROuped Summary Statistics

DEHOGT — 0.99.0

Differentially Expressed Heterogeneous Overdispersion Gene Test for Count Data

dejaVu — 0.3.1

Multiple Imputation for Recurrent Events

Delaporte — 8.4.1

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 — 1.4-1

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

DemoDecomp — 1.14.1

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 — 0.1.9

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 — 1.19.0

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

dendrometeR — 1.1.0

Analyzing Dendrometer Data

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 — 2.1.1

A Tidy Format Datasets of Dengue by Country

denim — 1.0.0

Generate and Simulate Deterministic Discrete-Time Compartmental Models

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

depCensoring — 0.1.3

Statistical Methods for Survival Data with Dependent Censoring

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

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