R Package Scholar
26,621
Referenced by ⇅ Year
microsamplingDesign: Finding Optimal Microsampling Designs for Non-Compartmental Pharmacokinetic Analysis (Version 1.0.8)

2018
spotGUI: Graphical User Interface for the Package "SPOT" (Version 0.2.3)

2018
wiseR: A Shiny Application for End-to-End Bayesian Decision Network Analysis and Web-Deployment (Version 1.0.1)

2018
ANOVAShiny: Interactive Document for Working with Analysis of Variance (Version 0.1.0)

2019
ANOVAShiny2: Interactive Document for Working with Analysis of Variance (Version 0.1.0)

2020
BLRShiny: Interactive Document for Working with Binary Logistic Regression Analysis (Version 0.1.0)

2019
BLRShiny2: Interactive Document for Working with Binary Logistic Regression Analysis (Version 0.1.0)

2020
CTShiny: Interactive Document for Working with Classification Tree Analysis (Version 0.1.0)

2019
CTShiny2: Interactive Document for Working with Classification Tree Analysis (Version 0.1.0)

2020
DataEditR: An Interactive Editor for Viewing, Entering, Filtering & Editing Data (Version 0.1.5)

2020
GMCM: Fast Estimation of Gaussian Mixture Copula Models (Version 1.4)

2014
GOFShiny: Interactive Document for Working with Goodness of Fit Analysis (Version 0.1.0)

2019
GWSDAT: GroundWater Spatiotemporal Data Analysis Tool (GWSDAT) (Version 3.2.1)

2017
IGoRRR: A Shiny Interface for Simple Data Management (Version 0.3.4)

2022
KCSKNNShiny: K-Nearest Neighbour Classifier (Version 0.1.0)

2019
KCSNBShiny: Naive Bayes Classifier (Version 0.1.0)

2019
KNNShiny: Interactive Document for Working with KNN Analysis (Version 0.1.0)

2019
NBShiny: Interactive Document for Working with Naive Bayes Classification (Version 0.1.0)

2019
NBShiny2: Interactive Document for Working with Naive Bayes Classification (Version 0.1.0)

2019
NBShiny3: Interactive Document for Working with Naive Bayes Classification (Version 0.1.0)

2020
PopED: Population (and Individual) Optimal Experimental Design (Version 0.7.0)

2014
RLumShiny: 'Shiny' Applications for the R Package 'Luminescence' (Version 0.2.3)

2015
apisensr: Interface to 'episensr' for Sensitivity Analysis of Epidemiological Results (Version 1.0.0)

2021
appRiori: Code and Obtain Customized Planned Comparisons with 'appRiori' (Version 0.0.5)

2023
biodosetools: An R Shiny Application for Biological Dosimetry (Version 3.6.1)

2022
cofad: Contrast Analyses for Factorial Designs (Version 0.3.0)

2019
competitiontoolbox: A Graphical User Interface for Antitrust and Trade Practitioners (Version 0.7.1)

2019
dataspice: Create Lightweight Schema.org Descriptions of Data (Version 1.1.0)

2020
distreg.vis: Framework for the Visualization of Distributional Regression Models (Version 1.7.5)

2018
formods: 'Shiny' Modules for General Tasks (Version 0.1.7)

2023
gimmeTools: Supplemental Tools for the 'gimme' R Package (Version 0.1)

2018
hR: Toolkit for Data Analytics in Human Resources (Version 0.2.50)

2018
idiogramFISH: Shiny App. Idiograms with Marks and Karyotype Indices (Version 2.0.13)

2019
lactater: Tools for Analyzing Lactate Thresholds (Version 0.2.0)

2021
miniMeta: Web Application to Run Meta-Analyses (Version 0.3.2)

2020
modest: Model-Based Dose-Escalation Trials (Version 0.3-1)

2017
oppr: Optimal Project Prioritization (Version 1.0.4)

2019
pmxcode: Create Pharmacometric Models (Version 0.1.4)

2023
polmineR: Verbs and Nouns for Corpus Analysis (Version 0.8.9)

2016
ruminate: A Pharmacometrics Data Transformation and Analysis Tool (Version 0.2.4)

2023
sdcMicro: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation (Version 5.7.8)

2007
soilphysics: Soil Physical Analysis (Version 5.0)

2014
ssd4mosaic: Web Application for the SSD Module of the MOSAIC Platform (Version 1.0.1)

2024
ubiquity: PKPD, PBPK, and Systems Pharmacology Modeling Tools (Version 2.0.3)

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.

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