modelr: Modelling Functions that Work with the Pipe

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

Hadley Wickham • Posit Software • View description and downloads View dependencies GitHub project

2016 Published

0.1.11 Version

0 Citations

2 Authors

Referenced by ⇅	Year
regfilter: Elimination of Noisy Samples in Regression Datasets using Noise Filters (Version 1.1.1)	2022
AEenrich: Adverse Event Enrichment Tests (Version 1.1.0)	2020
INSPECTumours: IN-vivo reSPonsE Classification of Tumours (Version 0.1.0)	2022
RMediation: Mediation Analysis Confidence Intervals (Version 1.2.2)	2011
activAnalyzer: A 'Shiny' App to Analyze Accelerometer-Measured Daily Physical Behavior Data (Version 2.1.2)	2022
brolgar: Browse Over Longitudinal Data Graphically and Analytically in R (Version 1.0.1)	2020
dcm2: Calculating the M2 Model Fit Statistic for Diagnostic Classification Models (Version 1.0.2)	2023
doBy: Groupwise Statistics, LSmeans, Linear Estimates, Utilities (Version 4.6.24)	2006
gompertztrunc: Conducting Maximum Likelihood Estimation with Truncated Mortality Data (Version 0.1.2)	2022
labelr: Label Data Frames, Variables, and Values (Version 0.1.9)	2024
lifelogr: Life Logging (Version 0.1.0)	2017
multiverse: Create 'multiverse analysis' in R (Version 0.6.2)	2021
pipeliner: Machine Learning Pipelines for R (Version 0.1.1)	2016
predict3d: Draw Three Dimensional Predict Plot Using Package 'rgl' (Version 0.1.5)	2019
regmedint: Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms (Version 1.0.1)	2020
rgnoisefilt: Elimination of Noisy Samples in Regression Datasets using Noise Filters (Version 1.1.2)	2023
soiltestcorr: Soil Test Correlation and Calibration (Version 2.2.1)	2022
tfestimators: Interface to 'TensorFlow' Estimators (Version 1.9.2)	2017
tidyboot: Tidyverse-Compatible Bootstrapping (Version 0.1.1)	2017
tidybayes: Tidy Data and 'Geoms' for Bayesian Models (Version 3.0.7)	2018
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.