rPackages

Bayesian Linear Mixed-Effects Models

Data Files and Functions Accompanying the Book "Bayesian Data Analysis in Ecology using R, BUGS an…

Biotic Ligand Model Engine

Black-Litterman Posterior Distribution

A Simple S3 Class for Representing Vectors of Binary Data ('BLOBS')

Co-Clustering Package for Binary, Categorical, Contingency and Continuous Data-Sets

Estimation of Large Block Covariance Matrices

Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation

Generation of Blocked Fractional Factorial Designs (Two-Level and Three-Level)

Block Forests: Random Forests for Blocks of Clinical and Omics Covariate Data

Various Blocking Methods for Entity Resolution

Select an Optimal Block-Length to Bootstrap Dependent Data (Block Bootstrap)

Blockmatrix: Tools to solve algebraic systems with partitioned matrices

Integrating Multi-Source Block-Wise Missing Data in Model Selection

Generalized and Classical Blockmodeling of Valued Networks

GUI for the Generalised Blockmodeling of Valued Networks

Latent and Stochastic Block Model Estimation by a 'V-EM' Algorithm

A Block-Based Framework for Data Manipulation and Visualization

Randomization for Block Random Clinical Trials

Block Design for Response-Adaptive Randomization

Nested and Crossed Block Designs for Factorial and Unstructured Treatment Sets

Sample Dataframes by a Group

Block, Assign, and Diagnose Potential Interference in Randomized Experiments

Reduced Modeling for Tabular Data with Blockwise Missingness

Block-Wise Rank in Similarity Graph Edge-Count Two-Sample Test (BRISE)

Estimate and Visualize Voting Blocs' Partisan Contributions

Create Blogs and Websites with R Markdown

Methods to Impute and Analyze Data with BLOQ Observations

Tools for Developing Binary Logistic Regression Models

Compress and Decompress Data Using the 'BLOSC' Library

Block Diagonal Matrix Approximation

Performs a BLP Demand Estimation

Bayesian Linear Regression

Dose Escalation Design in Phase I Oncology Trial Using Bayesian Logistic Regression Modeling

Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pulse Model

Interactive Document for Working with Binary Logistic Regression Analysis

Interactive Document for Working with Binary Logistic Regression Analysis

Data Viewer for Bureau of Labor Statistics Data

An API Wrapper for the United States Bureau of Labor Statistics

Download Time Series Data from the U.S. Bureau of Labor Statistics

Bayesian Latent Space Model

Make Requests from the Bureau of Labor Statistics API

Bayesian Latent Threshold Modeling

Blue Bike Comprehensive Data

Estimation of Organic Carbon Stocks and Sequestration Rates from Soil Core Data

Boltzmann–Lotka–Volterra Interaction Model

Blyth-Still-Casella Exact Binomial Confidence Intervals

Bayesian Model Averaging

Bayesian Mediation Analysis Using BART

Bayesian Model Averaging for Basket Trials

Multivariate Extremes: Bayesian Estimation of the Spectral Measure

Bayesian Multivariate Analysis of Summary Statistics

Bayesian Analysis for Multivariate Categorical Outcomes

CONCOR for Structural- And Regular-Equivalence Blockmodeling

Mediation Analysis with Missing Data Using Bootstrap

Spatial Interpolation using Bayesian Maximum Entropy (BME)

Mediation Analysis with Missing Data and Non-Normal Data

Bayesian Multigroup Equivalence Testing

Bayesian Multivariate GARCH Models

Bayesian Multidimensional Generalized Graded Unfolding Model

Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Datasets

Bayesian Estimation for Finite Mixture of Distributions

Bayesian Multiple-Membership Multilevel Models with Parameterizable Weight Functions

Bayesian Multilevel Mediation

Easy and Accessible Bayesian Measurement Models Using 'brms'

Read Windows Bitmap (BMP) Images

'BMRB' File Downloader

An Implementation of the Bayesian Markov (Renewal) Mixed Models

Bayesian Model Averaging Library

Bayesian Multilevel Single Case Models using 'Stan'

Bayesian Modeling of Spatio-Temporal Data with R

The BMT Distribution

Bayesian Approach for MTAR Models with Missing Data

Learning Discrete Bayesian Network Classifiers from Data