backports: Reimplementations of Functions Introduced Since R-3.0.0

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

Michel Lang • Duncan Murdoch • R Core Team • View description and downloads View dependencies GitHub project

2016 Published

1.5.0 Version

0 Citations

3 Authors

Referenced by ⇅	Year
stringb: Convenient Base R String Handling (Version 0.1.17)	2016
BatchExperiments: Statistical Experiments on Batch Computing Clusters (Version 1.4.3)	2012
BatchJobs: Batch Computing with R (Version 1.9)	2012
MatchIt: Nonparametric Preprocessing for Parametric Causal Inference (Version 4.5.5)	2005
OpenML: Open Machine Learning and Open Data Platform (Version 1.12)	2016
ParamHelpers: Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning (Version 1.14.1)	2012
SMDIC: Identification of Somatic Mutation-Driven Immune Cells (Version 0.1.6)	2020
SpaDES.tools: Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models (Version 2.0.7)	2017
base64url: Fast and URL-Safe Base64 Encoder and Decoder (Version 1.4)	2016
batchtools: Tools for Computation on Batch Systems (Version 0.9.17)	2016
bibtex: Bibtex Parser (Version 0.5.1)	2009
brms: Bayesian Regression Models using 'Stan' (Version 2.22.0)	2015
broom: Convert Statistical Objects into Tidy Tibbles (Version 1.0.7)	2014
checkmate: Fast and Versatile Argument Checks (Version 2.3.2)	2014
cleaner: Fast and Easy Data Cleaning (Version 1.5.4)	2019
cobalt: Covariate Balance Tables and Plots (Version 4.5.5)	2016
crossmap: Apply Functions to All Combinations of List Elements (Version 0.4.0)	2020
dm: Relational Data Models (Version 1.0.10)	2020
exiftoolr: ExifTool Functionality from R (Version 0.2.6)	2018
ggpackets: Package Plot Layers for Easier Portability and Modularization (Version 0.2.1)	2022
ggpath: Robust Image Rendering Support for 'ggplot2' (Version 1.0.2)	2022
incase: Pipe-Friendly Vector Replacement with Case Statements (Version 0.3.2)	2020
jlmerclusterperm: Cluster-Based Permutation Analysis for Densely Sampled Time Data (Version 1.1.4)	2023
lintr: A 'Linter' for R Code (Version 3.1.2)	2014
lmw: Linear Model Weights (Version 0.0.2)	2023
mcboost: Multi-Calibration Boosting (Version 0.4.3)	2021
mlr: Machine Learning in R (Version 2.19.2)	2013
mlr3: Machine Learning in R - Next Generation (Version 0.21.1)	2019
mlr3cluster: Cluster Extension for 'mlr3' (Version 0.1.10)	2020
mlr3db: Data Base Backend for 'mlr3' (Version 0.5.2)	2019
mlr3filters: Filter Based Feature Selection for 'mlr3' (Version 0.8.1)	2019
mlr3misc: Helper Functions for 'mlr3' (Version 0.15.1)	2019
mlr3oml: Connector Between 'mlr3' and 'OpenML' (Version 0.10.0)	2020
mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3' (Version 0.7.0)	2019
mlr3summary: Model and Learner Summaries for 'mlr3' (Version 0.1.0)	2024
mlr3torch: Deep Learning with 'mlr3' (Version 0.1.2)	2024
mlrCPO: Composable Preprocessing Operators and Pipelines for Machine Learning (Version 0.3.7-7)	2018
mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)	2017
mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO' (Version 0.5.1-1)	2021
nfl4th: Functions to Calculate Optimal Fourth Down Decisions in the National Football League (Version 1.0.4)	2021
nflplotR: NFL Logo Plots in 'ggplot2' and 'gt' (Version 1.4.0)	2022
nlmixr2est: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines (Version 3.0.1)	2022
paradox: Define and Work with Parameter Spaces for Complex Algorithms (Version 1.0.1)	2019
prt: Tabular Data Backed by Partitioned 'fst' Files (Version 0.2.0)	2020
ricu: Intensive Care Unit Data with R (Version 0.5.6)	2020
riskmetric: Risk Metrics to Evaluating R Packages (Version 0.2.4)	2021
rtika: R Interface to 'Apache Tika' (Version 2.7.0)	2018
rxode2: Facilities for Simulating from ODE-Based Models (Version 3.0.2)	2022
simstudy: Simulation of Study Data (Version 0.8.1)	2016
snvecR: Calculate Earth’s Obliquity and Precession in the Past (Version 3.9.4)	2023
spaMM: Mixed-Effect Models, with or without Spatial Random Effects (Version 4.5.0)	2013
tfautograph: Autograph R for 'Tensorflow' (Version 0.3.2)	2019

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.