All packages

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BonEV — 1.0

An Improved Multiple Testing Procedure for Controlling False Discovery Rates

bonn — 1.0.2

Access INKAR Database

bonsai — 0.3.1

Model Wrappers for Tree-Based Models

bonsaiforest — 0.1.0

Shrinkage Based Forest Plots

boodist — 1.0.0

Some Distributions from the 'Boost' Library and More

bookdown — 0.40

Authoring Books and Technical Documents with R Markdown

BoolFilter — 1.0.0

Optimal Estimation of Partially Observed Boolean Dynamical Systems

BoolNet — 2.1.9

Construction, Simulation and Analysis of Boolean Networks

Boom — 0.9.15

Bayesian Object Oriented Modeling

boomer — 0.2.0

Debugging Tools to Inspect the Intermediate Steps of a Call

BoomSpikeSlab — 1.2.6

MCMC for Spike and Slab Regression

boostingDEA — 0.1.0

A Boosting Approach to Data Envelopment Analysis

BoostMLR — 1.0.3

Boosting for Multivariate Longitudinal Responses

boostmtree — 1.5.1

Boosted Multivariate Trees for Longitudinal Data

boostrq — 1.0.0

Boosting Regression Quantiles

boot — 1.3-31

Bootstrap Functions (Originally by Angelo Canty for S)

boot.heterogeneity — 1.1.5

A Bootstrap-Based Heterogeneity Test for Meta-Analysis

boot.pval — 0.5

Bootstrap p-Values

bootcluster — 0.3.2

Bootstrapping Estimates of Clustering Stability

bootComb — 1.1.2

Combine Parameter Estimates via Parametric Bootstrap

bootCT — 2.1.0

Bootstrapping the ARDL Tests for Cointegration

bootES — 1.3.0

Bootstrap Confidence Intervals on Effect Sizes

bootf2 — 0.4.1

Simulation and Comparison of Dissolution Profiles

bootGOF — 0.1.0

Bootstrap Based Goodness-of-Fit Tests

bootImpute — 1.2.1

Bootstrap Inference for Multiple Imputation

bootLR — 1.0.2

Bootstrapped Confidence Intervals for (Negative) Likelihood Ratio Tests

BootMRMR — 0.1

Bootstrap-MRMR Technique for Informative Gene Selection

bootnet — 1.6

Bootstrap Methods for Various Network Estimation Routines

bootPLS — 0.9.9

Bootstrap Hyperparameter Selection for PLS Models and Extensions

BootPR — 1.0

Bootstrap Prediction Intervals and Bias-Corrected Forecasting

bootruin — 1.2-4

A Bootstrap Test for the Probability of Ruin in the Classical Risk Process

bootStepAIC — 1.3-0

Bootstrap stepAIC

bootstrap — 2019.6

Functions for the Book "An Introduction to the Bootstrap"

bootstrapFP — 0.4.6

Bootstrap Algorithms for Finite Population Inference

BootstrapQTL — 1.0.5

Bootstrap cis-QTL Method that Corrects for the Winner's Curse

bootsurv — 0.0.1

Bootstrap Methods for Complete Survey Data

bootSVD — 1.1

Fast, Exact Bootstrap Principal Component Analysis for High Dimensional Data

bootUR — 1.0.4

Bootstrap Unit Root Tests

bootwar — 0.2.1

Nonparametric Bootstrap Test with Pooled Resampling Card Game

BootWPTOS — 1.2.1

Test Stationarity using Bootstrap Wavelet Packet Tests

Boptbd — 1.0.5

Bayesian Optimal Block Designs

bor — 0.1.0

Transforming Behavioral Observation Records into Data Matrices

boral — 2.0.2

Bayesian Ordination and Regression AnaLysis

borrowr — 0.2.0

Estimate Causal Effects with Borrowing Between Data Sources

Boruta — 8.0.0

Wrapper Algorithm for All Relevant Feature Selection

BosonSampling — 0.1.5

Classical Boson Sampling

BoSSA — 3.7

A Bunch of Structure and Sequence Analysis

bossR — 1.0.4

Biomarker Optimal Segmentation System

BOSSreg — 0.2.0

Best Orthogonalized Subset Selection (BOSS)

botor — 0.4.0

'AWS Python SDK' ('boto3') for R

BoundaryStats — 2.1.1

Boundary Overlap Statistics

BoundEdgeworth — 0.1.2.1

Bound on the Error of the First-Order Edgeworth Expansion

boundingbox — 1.0.1

Create a Bounding Box in an Image

boussinesq — 1.0.6

Analytic Solutions for (Ground-Water) Boussinesq Equation

boutliers — 1.1-2

Outlier Detection and Influence Diagnostics for Meta-Analysis

BoutrosLab.plotting.general — 7.1.0

Functions to Create Publication-Quality Plots

box — 1.2.0

Write Reusable, Composable and Modular R Code

box.linters — 0.10.5

Linters for 'box' Modules

box.lsp — 0.1.3

Provides 'box' Compatibility for 'languageserver'

boxcoxmix — 0.46

Box-Cox-Type Transformations for Linear and Logistic Models with Random Effects

boxfilter — 0.2

Filter Noisy Data

boxly — 0.1.1

Interactive Box Plot

boxplotcluster — 0.3

Clustering Method Based on Boxplot Statistics

boxplotdbl — 1.4.0

Double Box Plot for Two-Axes Correlation

boxr — 0.3.6

Interface for the 'Box.com API'

bp — 2.1.0

Blood Pressure Analysis in R

bpa — 0.1.1

Basic Pattern Analysis

bpAcc — 0.0-2

Blood Pressure Device Accuracy Evaluation: Statistical Considerations

bpbounds — 0.1.6

Nonparametric Bounds for the Average Causal Effect Due to Balke and Pearl and Extensions

bpca — 1.3-6

Biplot of Multivariate Data Based on Principal Components Analysis

bpcp — 1.4.2

Beta Product Confidence Procedure for Right Censored Data

bpDir — 0.1.2

Boxplots for Directional Data

bpgmm — 1.0.9

Bayesian Model Selection Approach for Parsimonious Gaussian Mixture Models

BPM — 1.0.0

Bayesian Purity Model to Estimate Tumor Purity

bpmnR — 0.1.1

Support for BPMN (Business Process Management Notation) Models

bpmnVisualizationR — 0.5.0

Visualize Process Execution Data on 'BPMN' Diagrams

bpnreg — 2.0.3

Bayesian Projected Normal Regression Models for Circular Data

bpp — 1.0.4

Computations Around Bayesian Predictive Power

bpr — 1.0.8

Fitting Bayesian Poisson Regression

BPrinStratTTE — 0.0.7

Causal Effects in Principal Strata Defined by Antidrug Antibodies

bqror — 1.7.0

Bayesian Quantile Regression for Ordinal Models

bqtl — 1.0-36

Bayesian QTL Mapping Toolkit

bRacatus — 2.0.0

A Method to Estimate the Accuracy and Biogeographical Status of Georeferenced Biological Data

BRACE — 0.1.0

Bias Reduction Through Analysis of Competing Events (BRACE)

bracer — 1.2.2

Brace Expansions

BRACoD.R — 0.0.2.0

BRACoD: Bayesian Regression Analysis of Compositional Data

brada — 1.0

Bayesian Response-Adaptive Design Analysis

BradleyTerry2 — 1.1-2

Bradley-Terry Models

braggR — 0.1.1

Calculate the Revealed Aggregator of Probability Predictions

braidReports — 0.5.4

Visualize Combined Action Response Surfaces and Report BRAID Analyses

braidrm — 0.71

Fitting Dose Response with the BRAID Combined Action Model

braids — 1.0.0

The Braid Groups

BrailleR — 1.0.2

Improved Access for Blind Users

BrainCon — 0.3.0

Inference the Partial Correlations Based on Time Series Data

brainGraph — 3.1.0

Graph Theory Analysis of Brain MRI Data

brainKCCA — 0.1.0

Region-Level Connectivity Network Construction via Kernel Canonical Correlation Analysis

brainR — 1.6.0

Helper Functions to 'misc3d' and 'rgl' Packages for Brain Imaging

BranchGLM — 3.0.0

Efficient Best Subset Selection for GLMs via Branch and Bound Algorithms

Branching — 0.9.7

Simulation and Estimation for Branching Processes

brandwatchR — 0.3.0

'Brandwatch' API to R

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