rPackages

Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling

Bayesian Analysis of Networks of Binary and/or Ordinal Variables

Markov Beta and Gamma Processes for Modeling Hazard Rates

Bayesian Group Sparse Multi-Task Regression

Bimodal Gumbel Distribution

Bayesian Global Vector Autoregressions

Bunch-Gay-Welsch Statistical Estimation

Boost C++ Header Files

Estimate the Burden of Healthcare-Associated Infections

General Likelihood Exploration

Useful Functions for Box, Hunter and Hunter II

Biomarker Threshold Models

Bayesian Hierarchical Models for Basket Trials

Bayesian Hierarchical Multi-Subject Multiscale Analysis of Functional MRI (fMRI) Data

Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering

Structural Bayesian Vector Autoregression Models

Bayesian Multi-Plate High-Throughput Screening of Compounds

Blinding Assessment Indexes for Randomized, Controlled, Clinical Trials

A GUI to Correct Measurement Bias in DNA Methylation Analyses

Biased Urn Model Distributions

Parse a BibTeX File to a Data Frame

R Wrapper for Java Implementation of BiBit

Interacting with BibTeX Databases

Bibliometrix Example Datasets

Create Different Types of Bibliometric Networks

Generator of Main Scientific References

Document-Level Matching Between Bibliographic Datasets

Plot Functions for Use in Bibliometrics

Bayesian Inference for the Birnbaum-Saunders Distribution

Bibtex Parser

Binary Causality Inference Framework

Binary Classification Using Extensions of Discriminant Analysis

BiCluster Algorithms

Biclustering with Missing Data

Integrative Inference of De Novo Cis-Regulatory Modules

Bayesian Inference for Directed Acyclic Graphs

Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices

Calculates the Bidimensional Regression Between Two 2D Configurations

Bioinformatic Distances

Behavior Insight Design: A Toolkit for Integrating Behavioral Science in UI/UX Design

Tools for Accessing the Botanical Information and Ecology Network Database

Bifactor Indices Calculator

Binary Choice Models with Fixed Effects

Tools for Survey Statistics in Educational Assessment

Bifurcating Autoregressive Models

'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects

Utilities for 'big.matrix' Objects from Package 'bigmemory'

Assertion and Message Functions

Perform Boolean Operations on Large Numbers

Read, Write, Manipulate, Explore Chess PGN Files and R API to UCI Chess Engines

Flexibly Format Dates and Times to a Given Locale

Distances for Machine Learning and Statistics in the Context of Big Data

Secure and Intuitive Access to 'BigDataPE' 'API' Datasets

Case-Control Analysis of Multi-Allelic Loci

Store Distance Matrices on Disk

Scalable Bayesian Disease Mapping Models for High-Dimensional Data

Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks

Distributed Gaussian Process Calculations

Biochemically Intuitive Generalized Loewe Model

Extending Lasso Model Fitting to Big Data

Physical and Physiological Ecosystem Properties from Eddy Covariance Data

Bounded Memory Linear and Generalized Linear Models

Bounded Memory Linear and Generalized Linear Models

Big Data Mapping

Making Optimal Matching Size-Scalable Using Optimal Calipers

Multidimensional Scaling for Big Data

Manage Massive Matrices with Shared Memory and Memory-Mapped Files

Arbitrary-Precision Integer and Floating-Point Mathematics

Easy Parallel Tools

Quadratic Forms in Large Matrices

Big Quadratic Inverse Covariance Estimation

Breeding Insight Genomics Functions for Polyploid and Diploid Species

Read Large Text Files

Generalized Linear Models (GLM) for Large Data Sets

An Interface to Google's 'BigQuery' 'API'

An Interface to Google's 'BigQuery Storage' API

Fast Generation of High-Dimensional Random Vectors

Analysis of Massive SNP Arrays

Sparse Matrix Format with Data on Disk

Smoothing Splines for Large Samples

Statistical Tools for Filebacked Big Matrices

Stepwise Selection for Large Data Sets

Big Survival Analysis Using Stochastic Gradient Descent