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"description": "Dendrochronology Program Library in R"
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"name": "R-dplyr",
"description": "Grammar of data manipulation"
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{
"name": "R-DPP",
"description": "Inference of parameters of normal distributions from a mixture of normals"
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{
"name": "R-DPQ",
"description": "DPQ: Density, Probability, Quantile computations"
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{
"name": "R-DPQmpfr",
"description": "DPQ (density, probability, quantile) distribution computations using MPFR"
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{
"name": "R-dprop",
"description": "Computation of some important distributional properties"
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{
"name": "R-dpseg",
"description": "Piece-wise linear segmentation by dynamic programming"
},
{
"name": "R-DPTM",
"description": "Dynamic panel multiple threshold model with fixed effects"
},
{
"name": "R-DPtree",
"description": "Dirichlet-based Polya Tree"
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{
"name": "R-dqrng",
"description": "Fast pseudo-random number generators"
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{
"name": "R-dr",
"description": "Methods for dimension reduction for regression"
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{
"name": "R-drake",
"description": "Pipeline toolkit for reproducible computation at scale"
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{
"name": "R-drc",
"description": "Analysis of dose-response curves"
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{
"name": "R-DRDID",
"description": "Doubly Robust Difference-in-Differences Estimators"
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{
"name": "R-dreamerr",
"description": "Error handling made easy"
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{
"name": "R-drf",
"description": "Distributional Random Forests"
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{
"name": "R-drtmle",
"description": "Doubly-robust nonparametric estimation and inference"
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"name": "R-dsem",
"description": "Fit dynamic structural equation models"
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{
"name": "R-dsfa",
"description": "Distributional Stochastic Frontier Analysis"
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{
"name": "R-dslabs",
"description": "Datasets and functions that can be used for data analysis practice, homework and projects in data science courses and workshops"
},
{
"name": "R-dslice",
"description": "Dynamic Slicing"
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{
"name": "R-dsmmR",
"description": "Estimation and simulation of drifting semi-Markov models"
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{
"name": "R-dst",
"description": "Use the theory of belief Functions for evidence calculus"
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{
"name": "R-dstabledist",
"description": "Discrete stable distribution functions"
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{
"name": "R-DstarM",
"description": "Analyze two choice reaction time data with the D*M method"
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{
"name": "R-dSTEM",
"description": "Multiple testing of local extrema for detection of change points"
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"name": "R-DT",
"description": "Wrapper for the JavaScript library DataTables"
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"name": "R-dtplyr",
"description": "Data table back-end for dplyr"
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{
"name": "R-DTSg",
"description": "Class for working with time series data based on data.table and R6 with largely optional reference semantics"
},
{
"name": "R-dtt",
"description": "Discrete Trigonometric Transforms"
},
{
"name": "R-dttr2",
"description": "Manipulate date, POSIXct and R-hms vectors"
},
{
"name": "R-dtts",
"description": "High-frequency time series support via nanotime and data.table"
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{
"name": "R-dtw",
"description": "Dynamic Time Warping algorithms"
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{
"name": "R-dtwclust",
"description": "Time series clustering along with optimizations for the dynamic time warping distance"
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{
"name": "R-dual",
"description": "Automatic differentiation with dual numbers"
},
{
"name": "R-dual.spls",
"description": "Dual Sparse Partial Least Squares regression"
},
{
"name": "R-dualtrees",
"description": "Decimated and undecimated 2D complex dual-tree wavelet transform"
},
{
"name": "R-duckdb",
"description": "DBI package for the DuckDB database management system"
},
{
"name": "R-duckdbfs",
"description": "High-performance remote file system access using DuckDB"
},
{
"name": "R-duckplyr",
"description": "Drop-in replacement for R-dplyr"
},
{
"name": "R-dunn.test",
"description": "Dunn’s test of multiple comparisons using rank sums"
},
{
"name": "R-dygraphs",
"description": "Interface to dygraphs interactive time series charting library"
},
{
"name": "R-dymo",
"description": "Dynamic mode decomposition for multivariate time feature prediction"
},
{
"name": "R-dyn",
"description": "Time series regression"
},
{
"name": "R-dynamac",
"description": "Dynamic simulation and testing for single-equation ARDL models"
},
{
"name": "R-dynamite",
"description": "Bayesian modeling and causal inference for multivariate longitudinal data"
},
{
"name": "R-dynCorr",
"description": "Dynamic Correlation package"
},
{
"name": "R-DynDoc",
"description": "Dynamic document tools"
},
{
"name": "R-dynlm",
"description": "Dynamic linear models and time series regression"
},
{
"name": "R-dynmix",
"description": "Estimation of dynamic finite mixtures"
}
]
}