dtplyr: Data Table Back-End for 'dplyr'

Canonical link: https://rscholar.com/pkg/dtplyr

Hadley Wickham • Maximilian Girlich • Mark Fairbanks • Ryan Dickerson • Posit Software • View description and downloads View dependencies GitHub project

2016 Published

0 Citations

5 Authors

10 Revisions

1.3.1 Version

MIT License

Referenced by ⇅	Year
rFIA: Estimation of Forest Variables using the FIA Database (Version 1.0.0)	2019
ReSurv: Machine Learning Models for Predicting Claim Counts (Version 1.0.0)	2024
brpop: Brazilian Population Estimatives (Version 0.5.0)	2022
cohorts: Cohort Analysis Made Easy (Version 1.0.1)	2021
editbl: 'DT' Extension for CRUD (Create, Read, Update, Delete) Applications in 'shiny' (Version 1.0.5)	2023
forecastML: Time Series Forecasting with Machine Learning Methods (Version 0.9.0)	2019
genieBPC: Project GENIE BioPharma Collaborative Data Processing Pipeline (Version 2.0.1)	2022
immunarch: Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires (Version 0.9.1)	2020
neonPlantEcology: Process NEON Plant Data for Ecological Analysis (Version 1.6.1)	2024
orbital: Predict with 'tidymodels' Workflows in Databases (Version 0.3.0)	2024
portvine: Vine Based (Un)Conditional Portfolio Risk Measure Estimation (Version 1.0.3)	2022
pvda: Disproportionality Functions for Pharmacovigilance (Version 0.0.3)	2024
skimr: Compact and Flexible Summaries of Data (Version 2.1.5)	2017
tidyft: Fast and Memory Efficient Data Operations in Tidy Syntax (Version 0.9.20)	2020
tidyquery: Query 'R' Data Frames with 'SQL' (Version 0.2.4)	2019
tidyverse: Easily Install and Load the 'Tidyverse' (Version 2.0.0)	2016

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.