Referenced by ⇅
Year
hier.part : Hierarchical Partitioning (Version 1.0-6)
2003
brmsmargins : Bayesian Marginal Effects for 'brms' Models (Version 0.2.0)
2021
broom.helpers : Helpers for Model Coefficients Tibbles (Version 1.17.0)
2020
broom : Convert Statistical Objects into Tidy Tibbles (Version 1.0.7)
2014
AICcmodavg : Model Selection and Multimodel Inference Based on (Q)AIC(c) (Version 2.3-3)
2009
BetaPASS : Calculate Power and Sample Size with Beta Regression (Version 1.1-2)
2019
DeclareDesign : Declare and Diagnose Research Designs (Version 1.0.10)
2018
MarZIC : Marginal Mediation Effects with Zero-Inflated Compositional Mediator (Version 1.0.0)
2023
MarginalMediation : Marginal Mediation (Version 0.7.2)
2018
MuMIn : Multi-Model Inference (Version 1.48.4)
2010
PASSED : Calculate Power and Sample Size for Two Sample Mean Tests (Version 1.2-2)
2020
RVAideMemoire : Testing and Plotting Procedures for Biostatistics (Version 0.9-83-7)
2011
SetMethods : Functions for Set-Theoretic Multi-Method Research and Advanced QCA (Version 4.0)
2013
StepBeta : Stepwise Procedure for Beta, Beta-Binomial and Negative Binomial Regression Models (Version 2.1.0)
2022
WeightedCluster : Clustering of Weighted Data (Version 1.8-1)
2013
ZIBR : A Zero-Inflated Beta Random Effect Model (Version 1.0.2)
2023
agridat : Agricultural Datasets (Version 1.24)
2011
bayestestR : Understand and Describe Bayesian Models and Posterior Distributions (Version 0.15.0)
2019
betaBayes : Bayesian Beta Regression (Version 1.0.1)
2021
clarify : Simulation-Based Inference for Regression Models (Version 0.2.1)
2023
distreg.vis : Framework for the Visualization of Distributional Regression Models (Version 1.7.5)
2018
dominanceanalysis : Dominance Analysis (Version 2.1.0)
2019
earlygating : Properties of Bayesian Early Gating Designs (Version 1.1)
2018
ecoCopula : Graphical Modelling and Ordination using Copulas (Version 1.0.2)
2020
effects : Effect Displays for Linear, Generalized Linear, and Other Models (Version 4.2-2)
2003
enrichwith : Methods to Enrich R Objects with Extra Components (Version 0.3.1)
2016
gcmr : Gaussian Copula Marginal Regression (Version 1.0.3)
2011
ggeffects : Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 2.0.0)
2017
ggstats : Extension to 'ggplot2' for Plotting Stats (Version 0.7.0)
2022
glmertree : Generalized Linear Mixed Model Trees (Version 0.2-6)
2017
ib : Bias Correction via Iterative Bootstrap (Version 0.2.0)
2020
insight : Easy Access to Model Information for Various Model Objects (Version 1.0.0)
2019
marginaleffects : Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.24.0)
2021
margins : Marginal Effects for Model Objects (Version 0.3.28)
2017
mecoturn : Decipher Microbial Turnover along a Gradient (Version 0.3.0)
2023
mfx : Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs (Version 1.2-2)
2013
mi : Missing Data Imputation and Model Checking (Version 1.1)
2008
modelsummary : Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready (Version 2.2.0)
2019
opticut : Likelihood Based Optimal Partitioning and Indicator Species Analysis (Version 0.1-3)
2016
parameters : Processing of Model Parameters (Version 0.24.0)
2019
performance : Assessment of Regression Models Performance (Version 0.12.4)
2019
plsRbeta : Partial Least Squares Regression for Beta Regression Models (Version 0.3.0)
2011
prediction : Tidy, Type-Safe 'prediction()' Methods (Version 0.3.18)
2016
robustbetareg : Robust Beta Regression (Version 0.3.0)
2022
rstanarm : Bayesian Applied Regression Modeling via Stan (Version 2.32.1)
2016
scITD : Single-Cell Interpretable Tensor Decomposition (Version 1.0.4)
2021
stargazer : Well-Formatted Regression and Summary Statistics Tables (Version 5.2.3)
2012
svycdiff : Controlled Difference Estimation for Complex Surveys (Version 0.1.1)
2024
texreg : Conversion of R Regression Output to LaTeX or HTML Tables (Version 1.39.4)
2012
Showing 1-49 of 49
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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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