All packages

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b6e6rl — 1.1

Adaptive differential evolution, b6e6rl variant

babar — 1.0

Bayesian Bacterial Growth Curve Analysis in R

babel — 0.3-0

Ribosome Profiling Data Analysis

babelwhale — 1.0.1

Talking to 'Docker' and 'Singularity' Containers

babette — 2.1.4

Control 'BEAST2'

BaBooN — 0.2-0

Bayesian Bootstrap Predictive Mean Matching - Multiple and Single Imputation for Discrete Data

babynames — 1.0.0

US Baby Names 1880-2017

BACA — 1.3

Bubble Chart to Compare Biological Annotations by using DAVID

BacArena — 1.8.2

Modeling Framework for Cellular Communities in their Environments

BACCO — 2.0-9

Bayesian Analysis of Computer Code Output (BACCO)

BACCT — 1.0

Bayesian Augmented Control for Clinical Trials

bacistool — 1.0.0

Bayesian Classification and Information Sharing (BaCIS) Tool for the Design of Multi-Group Phase II Clinical Trials

backbone — 1.2.2

Extracts the Backbone from Weighted Graphs

backpipe — 0.2.3

Backward Pipe (Right-to-Left) Operator

backports — 1.1.10

Reimplementations of Functions Introduced Since R-3.0.0

backShift — 0.1.4.3

Learning Causal Cyclic Graphs from Unknown Shift Interventions

backtest — 0.3-4

Exploring Portfolio-Based Conjectures About Financial Instruments

bacondecomp — 0.1.1

Goodman-Bacon Decomposition

BACprior — 2.0

Choice of the Hyperparameter Omega in the Bayesian Adjustment for Confounding (BAC) Algorithm

bacr — 1.0.1

Bayesian Adjustment for Confounding

badgecreatr — 0.2.0

Create Badges for 'Travis', 'Repostatus' 'Codecov.io' Etc in Github Readme

badger — 0.0.8

Badge for R Package

BAEssd — 1.0.1

Bayesian Average Error approach to Sample Size Determination

baggedcv — 1.0

Bagged Cross-Validation for Kernel Density Bandwidth Selection

baggr — 0.4.0

Bayesian Aggregate Treatment Effects

BAGofT — 0.1.0

A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT)

baguette — 0.0.1

Efficient Model Functions for Bagging

bahc — 0.3.0

Filter Covariance and Correlation Matrices with Bootstrapped-Averaged Hierarchical Ansatz

bain — 0.2.4

Bayes Factors for Informative Hypotheses

baitmet — 1.0.1

Library Driven Compound Profiling in Gas Chromatography - Mass Spectrometry Data

balance — 0.2.4

Visualize Balances of Compositional Data

BalanceCheck — 0.2

Balance Check for Multiple Covariates in Matched Observational Studies

BalancedSampling — 1.5.5

Balanced and Spatially Balanced Sampling

BALCONY — 0.2.10

Better ALignment CONsensus analYsis

BALD — 1.0.0-3

Robust Loss Development Using MCMC

Ball — 1.3.9

Statistical Inference and Sure Independence Screening via Ball Statistics

BALLI — 0.2.0

Expression RNA-Seq Data Analysis Based on Linear Mixed Model

BallMapper — 0.2.0

The Ball Mapper Algorithm

BaM — 1.0.1

Functions and Datasets for Books by Jeff Gill

bama — 1.0.1

High Dimensional Bayesian Mediation Analysis

BAMBI — 2.3.0

Bivariate Angular Mixture Models

bamboo — 0.9.25

Protein Secondary Structure Prediction Using the Bamboo Method

bamdit — 3.3.2

Bayesian Meta-Analysis of Diagnostic Test Data

bamlss — 1.1-2

Bayesian Additive Models for Location, Scale, and Shape (and Beyond)

BAMMtools — 2.1.7

Analysis and Visualization of Macroevolutionary Dynamics on Phylogenetic Trees

BaMORC — 1.0.1

Bayesian Model Optimized Reference Correction Method for Assigned and Unassigned Protein NMR Spectra

bamp — 2.0.8

Bayesian Age-Period-Cohort Modeling and Prediction

bandit — 0.5.0

Functions for simple A/B split test and multi-armed bandit analysis

bang — 1.0.1

Bayesian Analysis, No Gibbs

bannerCommenter — 0.1.1

Make Banner Comments with a Consistent Format

BANOVA — 1.1.8

Hierarchical Bayesian ANOVA Models

banR — 0.2.2

R Client for the BAN API

banter — 0.9.3

BioAcoustic EveNT ClassifiER

banxicoR — 0.9.0

Download Data from the Bank of Mexico

bapred — 1.0

Batch Effect Removal and Addon Normalization (in Phenotype Prediction using Gene Data)

BaPreStoPro — 0.1

Bayesian Prediction of Stochastic Processes

BarBorGradient — 1.0.5

Function Minimum Approximator

barcode — 1.1

Barcode distribution plots

baRcodeR — 0.1.5

Label Creation for Tracking and Collecting Data from Biological Samples

BarcodingR — 1.0-3

Species Identification using DNA Barcodes

BAREB — 0.1.0

A Bayesian Repulsive Biclustering Model for Periodontal Data

BARIS — 1.1.1

Access and Import Data from the French Open Data Portal

Barnard — 1.8

Barnard's Unconditional Test

barplot3d — 1.0.1

Create 3D Barplots

barsurf — 0.6.1

Multivariate Function Visualization and Smooth Multiband Color Interpolation

BART — 2.7

Bayesian Additive Regression Trees

bartBMA — 1.0

Bayesian Additive Regression Trees using Bayesian Model Averaging

bartCause — 1.0-4

Causal Inference using Bayesian Additive Regression Trees

bartMachine — 1.2.5.1

Bayesian Additive Regression Trees

bartMachineJARs — 1.1

bartMachine JARs

baRulho — 1.0.2

Quantifying Habitat-Induced Acoustic Signal Degradation

Barycenter — 1.3.1

Regularized Wasserstein Distances and Barycenters

BAS — 1.5.5

Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling

basad — 0.2.0

Bayesian Variable Selection with Shrinking and Diffusing Priors

base.rms — 1.0

Convert Regression Between Base Function and 'rms' Package

base2grob — 0.0.3

Convert Base Plot to 'grob' Object

base64 — 2.0

Base64 Encoder and Decoder

base64enc — 0.1-3

Tools for base64 encoding

base64url — 1.4

Fast and URL-Safe Base64 Encoder and Decoder

baseballDBR — 0.1.2

Sabermetrics and Advanced Baseball Statistics

baseflow — 0.12.0

Computes Hydrograph Separation

basefun — 1.0-7

Infrastructure for Computing with Basis Functions

baseline — 1.3-1

Baseline Correction of Spectra

basetheme — 0.1.2

Themes for Base Graphics Plots

basf — 0.1.0

Plot Simple Features with 'base' Sensibilities

basicMCMCplots — 0.2.5

Trace Plots, Density Plots and Chain Comparisons for MCMC Samples

basicspace — 0.24

Recovering a Basic Space from Issue Scales

basictabler — 0.3.1

Construct Rich Tables for Output to 'HTML'/'Excel'

basicTrendline — 2.0.3

Add Trendline and Confidence Interval of Basic Regression Models to Plot

BASiNET — 0.0.4

Classification of RNA Sequences using Complex Network Theory

BASIX — 1.1

BASIX: An efficient C/C++ toolset for R.

basket — 0.10.2

Basket Trial Analysis

BasketballAnalyzeR — 0.5.0

Analysis and Visualization of Basketball Data

BASS — 1.2.2

Bayesian Adaptive Spline Surfaces

BaSTA — 1.9.4

Age-Specific Survival Analysis from Incomplete Capture-Recapture/Recovery Data

bastah — 1.0.7

Big Data Statistical Analysis for High-Dimensional Models

BAT — 2.1.1

Biodiversity Assessment Tools

batade — 0.1

HTML reports and so on

batata — 0.1.1

Managing Packages Removal

batch — 1.1-5

Batching Routines in Parallel and Passing Command-Line Arguments to R

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