Result Stability Checks for Empirical R Projects

R package ResultModelManager version 0.6.2

Medidas Resumen y Tablas de Frecuencia para Datos Numéricos /
Summary Measures and Frequency Tables for Numerical Data
R package resumiR version 1.0.2

Machine Learning Models for Predicting Claim Counts

Regularized Exponentially Tilted Empirical Likelihood

Retention Flow Tables and Sankey Diagrams

Estimate User-Based Tagging Mortality and Tag Loss in
Mark-Recapture Studies
R package retmort version 1.0.0

Detect Retracted References in Documents and Bibliographies

Generate Disease-Specific Response Signatures from the
LINCS-L1000 Data

Tools for Type S (Sign) and Type M (Magnitude) Errors

Import Professional Baseball Data from 'Retrosheet'

Argument Table Generation for Sensitivity Analysis

Interface to 'Vamp' Audio Analysis Plugins

Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis

Revealed Preferences and Microeconomic Rationality

R Markdown Format for 'reveal.js' Presentations

Connect to Your 'Revenera' (Formerly 'Revulytics') Data

Linear Regression Stability to Significance Reversal

Reversion Mutation Detector for DNA Sequencing Data

Visualization and Post-Processing of 'RevBayes' Analyses

A Light-Weight, Portable Tool for Reviewing Individual Patient
Records

Dynamic Revision Letters for 'Rmarkdown' Manuscripts

Analyzing Revisions in Real-Time Time Series Vintages

Tools for Computational Revealed Preference Analysis

Visualizing the Standard Deviation via Revolution

Data Preparation and Diagnostics for Random Effects Within
Estimator
R package rewie version 0.1.0

Creates Interface with NASA 'Exoplanets Archive API'

R Wrappers for EXPOKIT; Other Matrix Functions

R Interface to 'FACTS' on Unix-Like Systems

Assess the FAIRness of Research Data Objects and Software

Fisheries Analysis and Modeling Simulator

A Collection of Efficient and Extremely Fast R Functions

A Collection of Efficient and Extremely Fast R Functions II

Resampling-Based False Discovery Proportion Control

Multiple Imputation using Chained Random Forests