All packages

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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

bplsr — 1.0.0

Bayesian partial least squares regression

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 — 1.0-38

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 — 1.0.1

Visualize Combined Action Response Surfaces and Report BRAID Analyses

braidrm — 1.0.3

Fitting Combined Action with the BRAID Response Surface 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 — 3.0.1

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

brant — 0.3-0

Test for Parallel Regression Assumption

braQCA — 1.4.11.26

Bootstrapped Robustness Assessment for Qualitative Comparative Analysis

brassica — 1.0.2

1970s BASIC Interpreter

bratteli — 1.0.0

Deal with Bratteli Graphs

bravo — 3.2.2

Bayesian Screening and Variable Selection

BrazilCrime — 0.2.1

Accesses Brazilian Public Security Data from SINESP Since 2015

BrazilMet — 0.2.0

Download and Processing of Automatic Weather Stations (AWS) Data of INMET-Brazil

BRBVS — 0.2.1

Variable Selection and Ranking in Copula Survival Models Affected by General Censoring Scheme

BRcal — 1.0.1

Boldness-Recalibration of Binary Events

brclimr — 0.2.0

Fetch Zonal Statistics of Weather Indicators for Brazilian Municipalities

BRDT — 0.1.0

Binomial Reliability Demonstration Tests

brea — 0.3.1

Bayesian Recurrent Events Analysis

bread — 0.4.1

Analyze Big Files Without Loading Them in Memory

BREADR — 1.0.2

Estimates Degrees of Relatedness (Up to the Second Degree) for Extreme Low-Coverage Data

breakaway — 4.8.4

Species Richness Estimation and Modeling

breakDown — 0.2.2

Model Agnostic Explainers for Individual Predictions

breakfast — 2.5

Methods for Fast Multiple Change-Point/Break-Point Detection and Estimation

breakpoint — 1.2

An R Package for Multiple Break-Point Detection via the Cross-Entropy Method

BreakPoints — 1.2

Identify Breakpoints in Series of Data

breathtestcore — 0.8.7

Core Functions to Read and Fit 13c Time Series from Breath Tests

breathteststan — 0.8.5

Stan-Based Fit to Gastric Emptying Curves

bReeze — 0.4-4

Functions for Wind Resource Assessment

BRETIGEA — 1.0.3

Brain Cell Type Specific Gene Expression Analysis

brew — 1.0-10

Templating Framework for Report Generation

brglm — 0.7.2

Bias Reduction in Binomial-Response Generalized Linear Models

brglm2 — 0.9.2

Bias Reduction in Generalized Linear Models

brickset — 2024.0.0

Interface with the Brickset API for Getting Data About LEGO Sets

brickster — 0.2.5

R Toolkit for 'Databricks'

bridgedist — 0.1.3

An Implementation of the Bridge Distribution with Logit-Link as in Wang and Louis (2003)

bridger — 0.1.0

Bridge Hand Generator with Criteria Selector

bridger2 — 0.1.0

Genome-Wide RNA Degradation Analysis Using BRIC-Seq Data

bridgesampling — 1.1-2

Bridge Sampling for Marginal Likelihoods and Bayes Factors

brif — 1.4.1

A Tree and Forest Tool for Classification and Regression

briKmeans — 1.0

Package for Brik, Fabrik and Fdebrik Algorithms to Initialise Kmeans

BRINDA — 0.1.5

Computation of BRINDA Adjusted Micronutrient Biomarkers for Inflammation

brinton — 0.2.7

A Graphical EDA Tool

brio — 1.1.5

Basic R Input Output

briqr — 0.1.0

Interface to the 'Briq' API

BRISC — 1.0.6

Fast Inference for Large Spatial Datasets using BRISC

brisk — 0.1.0

Bayesian Benefit Risk Analysis

BRL — 0.1.0

Beta Record Linkage

brlrmr — 0.1.7

Bias Reduction with Missing Binary Response

brm — 1.1.1

Binary Regression Model

brms — 2.22.0

Bayesian Regression Models using 'Stan'

brms.mmrm — 1.1.1

Bayesian MMRMs using 'brms'

brmsmargins — 0.2.0

Bayesian Marginal Effects for 'brms' Models

brnn — 0.9.3

Bayesian Regularization for Feed-Forward Neural Networks

Brobdingnag — 1.2-9

Very Large Numbers in R

BrokenAdaptiveRidge — 1.0.0

Broken Adaptive Ridge Regression with Cyclops

brokenstick — 2.5.0

Broken Stick Model for Irregular Longitudinal Data

brolgar — 1.0.1

Browse Over Longitudinal Data Graphically and Analytically in R

broman — 0.84

Karl Broman's R Code

broom — 1.0.7

Convert Statistical Objects into Tidy Tibbles

broom.helpers — 1.17.0

Helpers for Model Coefficients Tibbles

broom.mixed — 0.2.9.6

Tidying Methods for Mixed Models

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