Trending packages

ssMRCD — 2.0.1

Robust Estimators for Multi-Group and Spatial Data

exdqlm — 0.1.4

Extended Dynamic Quantile Linear Models

treedater — 1.0.2

Fast Molecular Clock Dating of Phylogenetic Trees with Rate Variation

qrmtools — 0.0-18

Tools for Quantitative Risk Management

SNPfiltR — 1.0.7

Interactively Filter SNP Datasets

S7 — 0.2.0

An Object Oriented System Meant to Become a Successor to S3 and S4

future.mirai — 0.10.1

A 'Future' API for Parallel Processing using 'mirai'

tailor — 0.1.0

Iterative Steps for Postprocessing Model Predictions

VBsparsePCA — 0.1.0

The Variational Bayesian Method for Sparse PCA

otel — 0.2.0

OpenTelemetry R API

pim — 2.0.4

Fit Probabilistic Index Models

rcdo — 0.3.0

Wrapper of 'CDO' Operators

W3CMarkupValidator — 0.2-1

R Interface to W3C Markup Validation Services

wordpiece.data — 2.0.0

Data for Wordpiece-Style Tokenization

MBmca — 1.1-0

Nucleic Acid Melting Curve Analysis

VIRF — 0.1.1

Computation of Volatility Impulse Response Function of Multivariate Time Series

wordpiece — 2.1.3

R Implementation of Wordpiece Tokenization

fluxtools — 0.6.2

A 'shiny' App for Reproducible QA/QC of Eddy Covariance Data

DFA.CANCOR — 0.3.9

Linear Discriminant Function and Canonical Correlation Analysis

Rdatasets — 0.0.1

Access Datasets from the Rdatasets Archive

EMbC — 2.0.4

Expectation-Maximization Binary Clustering

sentencepiece — 0.2.3

Text Tokenization using Byte Pair Encoding and Unigram Modelling

piecemaker — 1.0.2

Tools for Preparing Text for Tokenizers

tok — 0.2.0

Fast Text Tokenization

tokenizers.bpe — 0.1.4

Byte Pair Encoding Text Tokenization

kfigr — 1.2.1

Integrated Code Chunk Anchoring and Referencing for R Markdown Documents

roadoi — 0.7.3

Find Free Versions of Scholarly Publications via Unpaywall

dlr — 1.0.1

Download and Cache Files Safely

SpatialPosition — 2.1.3

Spatial Position Models

unvotes — 0.3.0

United Nations General Assembly Voting Data

TPD — 1.1.0

Methods for Measuring Functional Diversity Based on Trait Probability Density

fso — 2.1-4

Fuzzy Set Ordination

dr4pl — 2.0.0

Dose Response Data Analysis using the 4 Parameter Logistic (4pl) Model

mvgam — 1.1.593

Multivariate (Dynamic) Generalized Additive Models

fastNaiveBayes — 2.2.1

Extremely Fast Implementation of a Naive Bayes Classifier

postcards — 0.2.3

Create Beautiful, Simple Personal Websites

bcpa — 1.3.2

Behavioral Change Point Analysis of Animal Movement

unglue — 0.1.0

Extract Matched Substrings Using a Pattern

ROAuth — 0.9.6

R Interface For OAuth

r4ss — 1.44.0

R Code for Stock Synthesis

splitfngr — 0.1.2

Combined Evaluation and Split Access of Functions

mhurdle — 1.3-1

Multiple Hurdle Tobit Models

RMAWGEN — 1.3.9.3

Multi-Site Auto-Regressive Weather GENerator

future.tests — 0.9.0

Test Suite for 'Future API' Backends

disposables — 1.0.3

Create Disposable R Packages for Testing

gettz — 0.0.5

Get the Timezone Information

fishualize — 0.2.3

Color Palettes Based on Fish Species

fractional — 0.1.3

Vulgar Fractions in R

ebnm — 1.1-38

Solve the Empirical Bayes Normal Means Problem

RDML — 1.1

Importing Real-Time Thermo Cycler (qPCR) Data from RDML Format Files

hedgehog — 0.1

Property-Based Testing

codingMatrices — 0.4.0

Alternative Factor Coding Matrices for Linear Model Formulae

stepPlr — 0.93

L2 Penalized Logistic Regression with Stepwise Variable Selection

phylotate — 1.3

Phylogenies with Annotations

cramer — 0.9-4

Multivariate Nonparametric Cramer-Test for the Two-Sample-Problem

workflowr — 1.7.2

A Framework for Reproducible and Collaborative Data Science

icesConnect — 1.1.4

Provides User Tokens for Access to ICES Web Services

cmocean — 0.3-2

Beautiful Colour Maps for Oceanography

multinet — 4.3

Analysis and Mining of Multilayer Social Networks

packer — 0.1.3

An Opinionated Framework for Using 'JavaScript'

handlr — 0.3.1

Convert Among Citation Formats

pez — 1.2-5

Phylogenetics for the Environmental Sciences

mixopt — 0.1.3

Mixed Variable Optimization

UBStats — 0.3.0

Basic Statistics

xpectr — 0.4.4

Generates Expectations for 'testthat' Unit Testing

RMCC — 0.1.1

Airborne LiDAR Filtering Method Based on Multiscale Curvature

BatchExperiments — 1.4.4

Statistical Experiments on Batch Computing Clusters

lmboot — 0.0.1

Bootstrap in Linear Models

ClustGeo — 2.1

Hierarchical Clustering with Spatial Constraints

whitening — 1.4.0

Whitening and High-Dimensional Canonical Correlation Analysis

EQUALSTATS — 0.5.1

Algorithm Driven Statistical Analysis for Researchers without Coding Skills

TSrepr — 1.1.0

Time Series Representations

corHMM — 2.8

Hidden Markov Models of Character Evolution

FDboost — 1.1-3

Boosting Functional Regression Models

magclass — 6.13.2

Data Class and Tools for Handling Spatial-Temporal Data

EvidenceSynthesis — 1.0.0

Synthesizing Causal Evidence in a Distributed Research Network

wrswoR — 1.1.1

Weighted Random Sampling without Replacement

rotationForest — 0.1.3

Fit and Deploy Rotation Forest Models

svyVGAM — 1.2-17

Design-Based Inference in Vector Generalised Linear Models

RTextTools — 1.4.3

Automatic Text Classification via Supervised Learning

taxa — 0.4.4

Classes for Storing and Manipulating Taxonomic Data

Guerry — 1.8.3

Maps, Data and Methods Related to Guerry (1833) "Moral Statistics of France"

rnndescent — 0.1.8

Nearest Neighbor Descent Method for Approximate Nearest Neighbors

mapsapi — 0.5.4

'sf'-Compatible Interface to 'Google Maps' APIs

measures — 0.3

Performance Measures for Statistical Learning

xaringanthemer — 0.4.4

Custom 'xaringan' CSS Themes

varImp — 0.4

RF Variable Importance for Arbitrary Measures

RGCCA — 3.0.3

Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data

cyclestreets — 1.0.3

Cycle Routing and Data for Cycling Advocacy

Rchoice — 0.3-6

Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters

greta — 0.5.0

Simple and Scalable Statistical Modelling in R

brmsmargins — 0.2.0

Bayesian Marginal Effects for 'brms' Models

mldr — 0.4.3

Exploratory Data Analysis and Manipulation of Multi-Label Data Sets

gsisdecoder — 0.0.1

High Efficient Functions to Decode NFL Player IDs

clarify — 0.2.1

Simulation-Based Inference for Regression Models

sparseLDA — 0.1-9

Sparse Discriminant Analysis

bayesforecast — 1.0.5

Bayesian Time Series Modeling with Stan

perryExamples — 0.1.1

Examples for Integrating Prediction Error Estimation into Regression Models

TAF — 4.3.0

Transparent Assessment Framework for Reproducible Research

pBrackets — 1.0.1

Plot Brackets