All packages

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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 — 1.0.1

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

bootStateSpace — 1.0.2

Bootstrap for State Space Models

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

bosfr — 0.1.0

Computes Exact Bounds of Spearman's Footrule with Missing Data

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 — 0.4.1

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

BoundaryStats — 2.2.0

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 — 7.1.2

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

bplsr — 1.0.3

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 — 1.0.6

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 — 1.7.1

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 — 1.4.11.27

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 — 0.8.9

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

breathteststan — 0.8.9

Stan-Based Fit to Gastric Emptying Curves

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