Referenced by ⇅
Year
SCpubr : Generate Publication Ready Visualizations of Single Cell Transcriptomics Data (Version 3.0.1)
2022
bayestestR : Understand and Describe Bayesian Models and Posterior Distributions (Version 0.17.0)
2019
beastt : Bayesian Evaluation, Analysis, and Simulation Software Tools for Trials (Version 0.0.3)
2024
ffp : Fully Flexible Probabilities for Stress Testing and Portfolio Construction (Version 0.2.2)
2021
gratia : Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv' (Version 0.11.1)
2019
marginaleffects : Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.31.0)
2021
modelsummary : Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready (Version 2.5.0)
2019
tsnet : Fitting, Comparing, and Visualizing Networks Based on Time Series Data (Version 0.2.0)
2024
epiCleanr : A Tidy Solution for Epidemiological Data (Version 0.2.0)
2023
isotracer : Isotopic Tracer Analysis Using MCMC (Version 1.1.8)
2021
fabletools : Core Tools for Packages in the 'fable' Framework (Version 0.5.1)
2019
DUToolkit : Visualizing and Quantifying Decision Uncertainty (Version 1.0.2)
2025
EvidenceSynthesis : Synthesizing Causal Evidence in a Distributed Research Network (Version 1.1.0)
2020
GCEstim
Entropy : (Version )
0
MBNMAdose : Dose-Response MBNMA Models (Version 0.5.0)
2019
MBNMAtime : Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models (Version 0.2.6)
2019
PublicationBiasBenchmark : Benchmark for Publication Bias Correction Methods (Version 0.1.3)
2025
TOSTER : Two One-Sided Tests (TOST) Equivalence Testing (Version 0.8.6)
2016
Xcertainty : Estimating Lengths and Uncertainty from Photogrammetric Imagery (Version 1.0.1)
2024
bayesplot : Plotting for Bayesian Models (Version 1.15.0)
2016
bayestestR
Distributions : (Version )
0
beastt
Trials : (Version )
0
conformalForecast
Forecasting : (Version )
0
coveffectsplot : Produce Forest Plots to Visualize Covariate Effects (Version 1.0.7)
2018
crosshap : Local Haplotype Clustering and Visualization (Version 1.4.0)
2023
distributional : Vectorised Probability Distributions (Version 0.6.0)
2020
esci : Estimation Statistics with Confidence Intervals (Version 1.0.9)
2024
evalHTE : Evaluating Heterogeneous Treatment Effects (Version 0.1.0)
2026
evalITR : Evaluating Individualized Treatment Rules (Version 1.0.0)
2020
ffp
Construction : (Version )
0
fwb : Fractional Weighted Bootstrap (Version 0.5.1)
2022
ggdibbler : Add Uncertainty to Data Visualisations (Version 0.6.1)
2025
intervalpsych : Analyzing Interval Data in Psychometrics (Version 0.1.0)
2025
lmeresampler : Bootstrap Methods for Nested Linear Mixed-Effects Models (Version 0.2.4)
2016
marginaleffects
Tests : (Version )
0
multimedia : Multimodal Mediation Analysis (Version 0.2.0)
2024
multinma : Bayesian Network Meta-Analysis of Individual and Aggregate Data (Version 0.8.1)
2020
multitool : Run Multiverse Style Analyses (Version 0.1.5)
2023
nichetools : Complementary Package to 'nicheROVER' and 'SIBER' (Version 0.3.3)
2024
pmxTools : Pharmacometric and Pharmacokinetic Toolkit (Version 1.5)
2018
posterior : Tools for Working with Posterior Distributions (Version 1.6.1)
2021
priorsense : Prior Diagnostics and Sensitivity Analysis (Version 1.2.0)
2024
pvEBayes : Empirical Bayes Methods for Pharmacovigilance (Version 0.2.1)
2025
rvec : Vectors Representing Random Variables (Version 1.0.0)
2023
scipub : Summarize Data for Scientific Publication (Version 1.3.0)
2020
scoringutils : Utilities for Scoring and Assessing Predictions (Version 2.1.2)
2020
see : Model Visualisation Toolbox for 'easystats' and 'ggplot2' (Version 0.12.0)
2019
surveil : Time Series Models for Disease Surveillance (Version 0.3.0)
2021
tidybayes : Tidy Data and 'Geoms' for Bayesian Models (Version 3.0.7)
2018
trps : Bayesian Trophic Position Models using 'stan' (Version 0.1.0)
2025
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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.
