Referenced by ⇅
Year
EpiNow2 : Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters (Version 1.7.1)
2020
MSIMST : Bayesian Monotonic Single-Index Regression Model with the Skew-T Likelihood (Version 1.1)
2024
bayestestR : Understand and Describe Bayesian Models and Posterior Distributions (Version 0.17.0)
2019
bsitar : Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis (Version 0.3.2)
2023
bssm : Bayesian Inference of Non-Linear and Non-Gaussian State Space Models (Version 2.0.3)
2017
chkptstanr : Checkpoint MCMC Sampling with 'Stan' (Version 0.1.1)
2022
dynamite : Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data (Version 1.6.2)
2022
hdbayes : Bayesian Analysis of Generalized Linear Models with Historical Data (Version 0.2.0)
2024
loo : Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models (Version 2.9.0)
2015
marginaleffects : Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.31.0)
2021
shinystan : Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models (Version 2.7.0)
2015
tsnet : Fitting, Comparing, and Visualizing Networks Based on Time Series Data (Version 0.2.0)
2024
DSSP : Implementation of the Direct Sampling Spatial Prior (Version 0.1.1)
2022
lnmixsurv : Bayesian Mixture Log-Normal Survival Model (Version 3.1.6)
2024
EpiNow2
Parameters : (Version )
0
BMIselect
Datasets : (Version )
0
BayesERtools : Bayesian Exposure-Response Analysis Tools (Version 0.2.4)
2025
BayesMultiMode : Bayesian Mode Inference (Version 0.7.4)
2022
EBcoBART : Co-Data Learning for Bayesian Additive Regression Trees (Version 1.1.2)
2024
GCPBayes
Structure : (Version )
0
GUD : Bayesian Modal Regression Based on the GUD Family (Version 1.0.2)
2024
IJSE : Infinitesimal Jackknife Standard Errors for 'brms' Models (Version 0.1.2)
2024
LassoHiDFastGibbs
Regression : (Version )
0
MCMCvis : Tools to Visualize, Manipulate, and Summarize MCMC Output (Version 0.16.5)
2016
MSIMST
Likelihood : (Version )
0
OncoBayes2 : Bayesian Logistic Regression for Oncology Dose-Escalation Trials (Version 0.9-4)
2019
bayesDiagnostics : Comprehensive Bayesian Model Diagnostics and Comparison Tools (Version 0.1.0)
2026
bayesMeanScale : Bayesian Post-Estimation on the Mean Scale (Version 0.2.1)
2024
bayesQRsurvey
Analysis : (Version )
0
bayesianOU
Volatility : (Version )
0
bayesplot : Plotting for Bayesian Models (Version 1.15.0)
2016
bayestestR
Distributions : (Version )
0
bennu : Bayesian Estimation of Naloxone Kit Number Under-Reporting (Version 0.3.2)
2023
bivarhr : Bivariate Hurdle Regression with Bayesian Model Averaging (Version 0.1.5)
2025
brms.mmrm : Bayesian MMRMs using 'brms' (Version 1.1.1)
2023
brms : Bayesian Regression Models using 'Stan' (Version 2.23.0)
2015
brmsmargins : Bayesian Marginal Effects for 'brms' Models (Version 0.2.1)
2021
broom.mixed : Tidying Methods for Mixed Models (Version 0.2.9.6)
2018
bssm
Models : (Version )
0
bvhar : Bayesian Vector Heterogeneous Autoregressive Modeling (Version 2.3.0)
2023
convergenceDFM : Convergence and Dynamic Factor Models (Version 0.1.4)
2025
dapper : Data Augmentation for Private Posterior Estimation (Version 1.0.1)
2024
easycensus : Quickly Find, Extract, and Marginalize U.S. Census Tables (Version 1.1.3)
2022
footBayes : Fitting Bayesian and MLE Football Models (Version 2.0.0)
2022
ggdist : Visualizations of Distributions and Uncertainty (Version 3.3.3)
2020
hbsaems : Hierarchical Bayes Small Area Estimation Model using 'Stan' (Version 0.1.1)
2025
hdbayes
Data : (Version )
0
historicalborrow : Non-Longitudinal Bayesian Historical Borrowing Models (Version 1.1.0)
2022
historicalborrowlong : Longitudinal Bayesian Historical Borrowing Models (Version 0.1.0)
2022
intervalpsych : Analyzing Interval Data in Psychometrics (Version 0.1.0)
2025
jagstargets : Targets for JAGS Pipelines (Version 1.2.2)
2021
loo
Models : (Version )
0
marginaleffects
Tests : (Version )
0
mcmcsae : Markov Chain Monte Carlo Small Area Estimation (Version 0.8.0)
2020
measr : Bayesian Psychometric Measurement Using 'Stan' (Version 2.0.0)
2023
miniLNM : Miniature Logistic-Normal Multinomial Models (Version 0.1.0)
2024
multilevelmediation : Utility Functions for Multilevel Mediation Analysis (Version 0.4.1)
2024
mvgam : Multivariate (Dynamic) Generalized Additive Models (Version 1.1.594)
2024
parameters : Processing of Model Parameters (Version 0.28.3)
2019
priorsense : Prior Diagnostics and Sensitivity Analysis (Version 1.2.0)
2024
projpred : Projection Predictive Feature Selection (Version 2.10.0)
2018
prophet : Automatic Forecasting Procedure (Version 1.1.7)
2017
psborrow2 : Bayesian Dynamic Borrowing Analysis and Simulation (Version 0.0.4.0)
2024
psc : Personalised Synthetic Controls (Version 2.0.1)
2024
qbrms : Quick Bayesian Regression Models Using 'INLA' with 'brms' Syntax (Version 1.0.1)
2025
reslr : Modelling Relative Sea Level Data (Version 0.1.1)
2023
rjuliabugs : Interface to 'JuliaBUGS.jl' from R (Version 0.1.0)
2025
rmcmc : Robust Markov Chain Monte Carlo Methods (Version 0.1.2)
2025
rstanarm : Bayesian Applied Regression Modeling via Stan (Version 2.32.2)
2016
rstanemax : Emax Model Analysis with 'Stan' (Version 0.1.9)
2019
rvec : Vectors Representing Random Variables (Version 1.0.0)
2023
shinybrms : Graphical User Interface ('shiny' App) for 'brms' (Version 1.8.1)
2020
shinymrp : Interface for Multilevel Regression and Poststratification (Version 0.10.0)
2025
survextrap
Extrapolation : (Version )
0
tidybayes : Tidy Data and 'Geoms' for Bayesian Models (Version 3.0.7)
2018
trafficCAR : Bayesian CAR Models for Road-Segment Traffic (Version 0.1.0)
2026
unmconf : Modeling with Unmeasured Confounding (Version 1.0.0)
2023
voi : Expected Value of Information (Version 1.0.3)
2023
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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.
