Date and Time Extensions for the 'rebus' Package

Numeric Extensions for the 'rebus' Package

Unicode Extensions for the 'rebus' Package

Relevant Component Analysis for Supervised Distance Metric
Learning
R package RECA version 1.7.1

Quantile Recalibration for Regression Models

Recursive Mining for Frequent Pattern and Confident Association
Rules

Explore and Interactively Adjust a Daily Distribution of Lessons

Text Analysis Through the 'Receptiviti' API

3D Reconstruction of Archaeological Excavations

Random Survival Forest for Recurrent Events

HydroBudget – Groundwater Recharge Model

Preprocessing and Feature Engineering Steps for Modeling

Ordination Methods for the Analysis of Beta-Diversity Indices

Compute the Rectangular Statistical Cartogram

Psychometric Evaluation Using Relative Excess Correlations

Estimating Environmental Suitability for Plants

Interface Functions for PMML Creation, and Data Recoding

Interactive Annotation of Text and Images

Evaluation Metrics for Implicit-Feedback Recommender Systems

Lab for Developing and Testing Recommender Algorithms

Book-Crossing Dataset (BX) for 'recommenderlab'
R package recommenderlabBX version 0.2-0

R package recommenderlabJester version 0.2-0

Reconstruct Individual-Level Data from Published KM Plots

Toolkit to Validate New Data for a Predictive Model

Record Linkage Functions for Linking and Deduplicating Data Sets
R package RecordLinkage version 0.4-12.5

Inference Tools in Time Series Based on Record Statistics

Recommender System using Matrix Factorization

Creates Pseudo-Observations and Analysis for Recurrent Event
Data

Computes Revisitation Metrics for Trajectory Data

Companion Package to the Book 'R: Einführung durch angewandte
Statistik'
R package REdaS version 0.9.4

Access and Analyze Data from the Red Book of Endemic Plants of
Peru

REDCap Metadata Casting and Castellated Data Handling

Automated Construction of R Data Packages from REDCap Projects

Extract 'REDCap' Databases into Tidy 'Tibble's

An Interface to the Computer Algebra System 'REDUCE'

Get Reddit Ads Data via the 'Windsor.ai' API