Referenced by ⇅
Year
BayesMultiMode : Bayesian Mode Inference (Version 0.7.2)
2022
DSSP : Implementation of the Direct Sampling Spatial Prior (Version 0.1.1)
2022
EBcoBART : Co-Data Learning for Bayesian Additive Regression Trees (Version 1.1.0)
2024
EpiNow2 : Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters (Version 1.6.0)
2020
GUD : Bayesian Modal Regression Based on the GUD Family (Version 1.0.2)
2024
IJSE : Infinite-Jackknife-Based Standard Errors for 'brms' Models (Version 0.1.1)
2024
MCMCvis : Tools to Visualize, Manipulate, and Summarize MCMC Output (Version 0.16.3)
2016
MSIMST : Bayesian Monotonic Single-Index Regression Model with the Skew-T Likelihood (Version 1.1)
2024
OncoBayes2 : Bayesian Logistic Regression for Oncology Dose-Escalation Trials (Version 0.8-9)
2019
bayesMeanScale : Bayesian Post-Estimation on the Mean Scale (Version 0.1.4)
2024
bayesplot : Plotting for Bayesian Models (Version 1.11.1)
2016
bayestestR : Understand and Describe Bayesian Models and Posterior Distributions (Version 0.15.0)
2019
bennu : Bayesian Estimation of Naloxone Kit Number Under-Reporting (Version 0.3.0)
2023
brms.mmrm : Bayesian MMRMs using 'brms' (Version 1.1.1)
2023
brms : Bayesian Regression Models using 'Stan' (Version 2.22.0)
2015
brmsmargins : Bayesian Marginal Effects for 'brms' Models (Version 0.2.0)
2021
broom.mixed : Tidying Methods for Mixed Models (Version 0.2.9.6)
2018
bsitar : Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis (Version 0.2.1)
2023
bssm : Bayesian Inference of Non-Linear and Non-Gaussian State Space Models (Version 2.0.2)
2017
bvhar : Bayesian Vector Heterogeneous Autoregressive Modeling (Version 2.1.2)
2023
chkptstanr : Checkpoint MCMC Sampling with 'Stan' (Version 0.1.1)
2022
dapper : Data Augmentation for Private Posterior Estimation (Version 1.0.0)
2024
dynamite : Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data (Version 1.5.2)
2022
easycensus : Quickly Find, Extract, and Marginalize U.S. Census Tables (Version 1.1.1)
2022
ggdist : Visualizations of Distributions and Uncertainty (Version 3.3.2)
2020
hdbayes : Bayesian Analysis of Generalized Linear Models with Historical Data (Version 0.1.1)
2024
historicalborrow : Non-Longitudinal Bayesian Historical Borrowing Models (Version 1.1.0)
2022
historicalborrowlong : Longitudinal Bayesian Historical Borrowing Models (Version 0.1.0)
2022
jagstargets : Targets for JAGS Pipelines (Version 1.2.1)
2021
lnmixsurv : Bayesian Mixture Log-Normal Survival Model (Version 3.1.6)
2024
loo : Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models (Version 2.8.0)
2015
marginaleffects : Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.23.0)
2021
mcmcsae : Markov Chain Monte Carlo Small Area Estimation (Version 0.7.7)
2020
measr : Bayesian Psychometric Measurement Using 'Stan' (Version 1.0.0)
2023
miniLNM : Miniature Logistic-Normal Multinomial Models (Version 0.1.0)
2024
multilevelmediation : Utility Functions for Multilevel Mediation Analysis (Version 0.3.1)
2024
mvgam : Multivariate (Dynamic) Generalized Additive Models (Version 1.1.3)
2024
parameters : Processing of Model Parameters (Version 0.23.0)
2019
priorsense : Prior Diagnostics and Sensitivity Analysis (Version 1.0.3)
2024
projpred : Projection Predictive Feature Selection (Version 2.8.0)
2018
psborrow2 : Bayesian Dynamic Borrowing Analysis and Simulation (Version 0.0.3.4)
2024
reslr : Modelling Relative Sea Level Data (Version 0.1.1)
2023
rstanarm : Bayesian Applied Regression Modeling via Stan (Version 2.32.1)
2016
rvec : Vector Representing a Random Variable (Version 0.0.7)
2023
shinystan : Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models (Version 2.6.0)
2015
tidybayes : Tidy Data and 'Geoms' for Bayesian Models (Version 3.0.7)
2018
tsnet : Fitting, Comparing, and Visualizing Networks Based on Time Series Data (Version 0.1.0)
2024
unmconf : Modeling with Unmeasured Confounding (Version 1.0.0)
2023
voi : Expected Value of Information (Version 1.0.3)
2023
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.