rPackages

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

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

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

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

Table, Apply, and Split Functionality for Matrix and 'big.matrix' Objects

Nonparametric Analysis of Bivariate Gap Time with Competing Risks

Sparse Estimation of Large Time Series Models

Utility Functions for Large-scale Data

Dimension Reduction Methods for Multivariate Time Series

Bay Area Bike Share Trips in 2014

Co-Clustering Adjusted Rand Index and Bikm1 Procedure for Contingency and Binary Data-Sets

A Package for BInary Longitudinal Data

Contains Data of Billboard Hot 100 Songs

Create Interactive Chart with the JavaScript 'Billboard' Library

Time Series and Econometric Modeling

The Bimodality Index

API Client to 'Binance'

Binarization of One-Dimensional Data

Threshold Cut Point of Probability for a Binary Classifier Model

Creates, Merges, and Reads Binary Dosage Files

Variable Selection for Binary Data Using the EM Algorithm

Mean and Scale-Factor Modeling of Under-

Fit and Predict a Gaussian Process Model with (Time-Series) Binary Response

Flexible Marginalized Models for Binary Correlated Outcomes

'binb' is not 'Beamer'

Estimate the Correlation Between Two Irregular Time Series

Multi-Class Discriminant Analysis using Binary Predictors

Generation of Artificial Binary Data

Parametrized Active Bindings

An 'Rcpp' Interface to Active Bindings

Methods for Analyzing Binned Income Data

Binford's Hunter-Gatherer Data

Estimates Parameters of Functions Driving Binomial Random Variables