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"name": "R-DBfit",
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"name": "R-DBI",
"description": "A database interface (DBI) definition for communication between R and RDBMSs"
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"name": "R-DBItest",
"description": "Testing for DBI backends"
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"name": "R-dblog",
"description": "Logging for arbitrary DBI backends"
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"name": "R-dblr",
"description": "Discrete Boosting Logistic Regression"
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"name": "R-DBModelSelect",
"description": "Distribution-Based Model Selection"
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{
"name": "R-dbplyr",
"description": "R-dplyr back-end for databases"
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{
"name": "R-dbscan",
"description": "Density-Based Spatial Clustering of Applications with Noise"
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{
"name": "R-dbx",
"description": "Fast and easy-to-use database interface for R"
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"name": "R-dcanr",
"description": "Differential co-expression/association network analysis"
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{
"name": "R-DCchoice",
"description": "Analyzing of dichotomous choice contingent valuation data"
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{
"name": "R-dccpp",
"description": "Fast computation of distance correlations"
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{
"name": "R-dclone",
"description": "Data cloning and MCMC tools for maximum likelihood methods"
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{
"name": "R-dcm2",
"description": "Calculate the M2 statistic for DCMs"
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{
"name": "R-dcmle",
"description": "Hierarchical models made easy with data cloning"
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"name": "R-dcorVS",
"description": "Variable selection algorithms using the distance correlation"
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"name": "R-dcov",
"description": "Fast implementation of distance covariance"
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"name": "R-dCovTS",
"description": "Distance covariance and correlation for time series analysis"
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{
"name": "R-dcTensor",
"description": "Discrete matrix/tensor decomposition"
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"name": "R-dCUR",
"description": "Dimension reduction with dynamic CUR"
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{
"name": "R-dcurver",
"description": "Davidian curves in R"
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"name": "R-ddalpha",
"description": "Depth-based classification and calculation of data depth"
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"name": "R-dde",
"description": "Solves ordinary and delay differential equations, where the objective function is written in either R or C"
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"name": "R-DDL",
"description": "Doubly Debiased Lasso"
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"name": "R-DDPM",
"description": "Data Sets for Discrete Probability Models"
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"name": "R-DeBoinR",
"description": "Box-plots and outlier detection for probability density functions"
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"name": "R-debugme",
"description": "Debug R packages"
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"name": "R-decido",
"description": "Bindings for Mapbox ear cutting triangulation library"
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{
"name": "R-DECIPHER",
"description": "Tools for curating, analyzing and manipulating biological sequences"
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"name": "R-declared",
"description": "Functions for declared missing values"
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{
"name": "R-DeclareDesign",
"description": "Declare and diagnose research designs"
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{
"name": "R-deconvolveR",
"description": "Empirical Bayes estimation strategies"
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{
"name": "R-decor",
"description": "Retrieve code decorations"
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{
"name": "R-deductive",
"description": "Data correction and imputation using deductive methods"
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{
"name": "R-deepgp",
"description": "Bayesian Deep Gaussian Processes using MCMC"
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{
"name": "R-deepRstudio",
"description": "Seamless language translation in RStudio using DeepL API and Rstudioapi"
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{
"name": "R-defineOptions",
"description": "Define and parse command line options"
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{
"name": "R-deFit",
"description": "Fit differential equations to time series data"
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{
"name": "R-defm",
"description": "Estimation and simulation of multi-binary response models"
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{
"name": "R-Delaporte",
"description": "Statistical functions for the Delaporte distribution"
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{
"name": "R-delayed",
"description": "Framework for parallelizing dependent tasks"
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{
"name": "R-DelayedArray",
"description": "Unified framework for working transparently with on-disk and in-memory array-like datasets"
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{
"name": "R-DelayedMatrixStats",
"description": "Functions that apply to rows and columns of DelayedMatrix objects"
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{
"name": "R-DelayedRandomArray",
"description": "Delayed arrays of random values"
},
{
"name": "R-deldir",
"description": "Delaunay triangulation and Dirichlet (Voronoï) tessellation"
},
{
"name": "R-deming",
"description": "Generalized Deming regression, Theil–Sen regression and passing-bablock regression functions"
},
{
"name": "R-dendextend",
"description": "Extending R dendrogram functionality"
},
{
"name": "R-DendSer",
"description": "Dendrogram seriation – ordering for visualisation"
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{
"name": "R-densEstBayes",
"description": "Density estimation via Bayesian inference engines"
},
{
"name": "R-densityarea",
"description": "Polygons of bivariate density distributions"
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}