All packages

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bcgam — 1.0

Bayesian Constrained Generalised Linear Models

BCgee — 0.1.1

Bias-Corrected Estimates for Generalized Linear Models for Dependent Data

BCHM — 1.00

Clinical Trial Calculation Based on BCHM Design

Bchron — 4.7.6

Radiocarbon Dating, Age-Depth Modelling, Relative Sea Level Rate Estimation, and Non-Parametric Phase Modelling

BClustLonG — 0.1.3

A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data

bcmaps — 2.2.0

Map Layers and Spatial Utilities for British Columbia

bcmixed — 0.1.4

Mixed Effect Model with the Box-Cox Transformation

bcpa — 1.3.2

Behavioral Change Point Analysis of Animal Movement

bcputility — 0.4.3

Wrapper for SQL Server bcp Utility

BCRA — 2.1.2

Breast Cancer Risk Assessment

bcrm — 0.5.4

Bayesian Continual Reassessment Method for Phase I Dose-Escalation Trials

bcROCsurface — 1.0-6

Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests

bcrypt — 1.1

'Blowfish' Password Hashing Algorithm

BCSub — 0.5

A Bayesian Semiparametric Factor Analysis Model for Subtype Identification (Clustering)

BCT — 1.2

Bayesian Context Trees for Discrete Time Series

bcv — 1.0.2

Cross-Validation for the SVD (Bi-Cross-Validation)

bda — 18.3.2

Binned Data Analysis

BDAlgo — 0.1.0

Bloom Detecting Algorithm

bdc — 1.1.4

Biodiversity Data Cleaning

bdDwC — 0.1.15

Darwinizer: Darwin Core (DwC) Field Names Standardization

bde — 1.0.1.1

Bounded Density Estimation

BDEsize — 1.6

Efficient Determination of Sample Size in Balanced Design of Experiments

BDgraph — 2.73

Bayesian Structure Learning in Graphical Models using Birth-Death MCMC

bdl — 1.0.5

Interface and Tools for 'BDL' API

bdlim — 0.4.2

Bayesian Distributed Lag Interaction Models

bdlp — 0.9-2

Transparent and Reproducible Artificial Data Generation

bdots — 1.2.5

Bootstrapped Differences of Time Series

BDP2 — 0.1.3

Bayesian Adaptive Designs for Phase II Trials with Binary Endpoint

bdpar — 3.1.0

Big Data Preprocessing Architecture

bdpv — 1.3

Inference and Design for Predictive Values in Diagnostic Tests

bdrc — 1.1.0

Bayesian Discharge Rating Curves

bdribs — 1.0.4

Bayesian Detection of Potential Risk Using Inference on Blinded Safety Data

bdscale — 2.0.0

Remove Weekends and Holidays from ggplot2 Axes

bdsmatrix — 1.3-7

Routines for Block Diagonal Symmetric Matrices

bdsvd — 0.2.0

Block Structure Detection Using Singular Vectors

bdvis — 0.2.37

Biodiversity Data Visualizations

BDWreg — 1.3.0

Bayesian Inference for Discrete Weibull Regression

BE — 0.2.4

Bioequivalence Study Data Analysis

bea.R — 1.0.6

Bureau of Economic Analysis API

BEACH — 1.3.1

Biometric Exploratory Analysis Creation House

beadplexr — 0.5.0

Analysis of Multiplex Cytometric Bead Assays

beakr — 0.4.3

A Minimalist Web Framework for R

BEAMR — 1.1.0

Bootstrap Evaluation of Association Matrices

beanplot — 1.3.1

Visualization via Beanplots (Like Boxplot/Stripchart/Violin Plot)

beans — 0.1.0

Data on Dried Beans

beanz — 3.1

Bayesian Analysis of Heterogeneous Treatment Effect

bearishTrader — 1.0.2

Trading Strategies for Bearish Outlook

beast — 1.1

Bayesian Estimation of Change-Points in the Slope of Multivariate Time-Series

beastier — 2.5.1

Call 'BEAST2'

BeastJar — 1.10.6

JAR Dependency for MCMC Using 'BEAST'

beastt — 0.0.1

Bayesian Evaluation, Analysis, and Simulation Software Tools for Trials

beautier — 2.6.12

'BEAUti' from R

beaver — 1.0.0

Bayesian Model Averaging of Covariate Adjusted Negative-Binomial Dose-Response

BED — 1.5.2

Biological Entity Dictionary (BED)

BEDASSLE — 1.6.1

Quantifies Effects of Geo/Eco Distance on Genetic Differentiation

BEDMatrix — 2.0.4

Extract Genotypes from a PLINK .bed File

bedr — 1.0.7

Genomic Region Processing using Tools Such as 'BEDTools', 'BEDOPS' and 'Tabix'

BeeBDC — 1.2.0

Occurrence Data Cleaning

beeca — 0.1.3

Binary Endpoint Estimation with Covariate Adjustment

BeeGUTS — 1.1.3

General Unified Threshold Model of Survival for Bees using Bayesian Inference

beepr — 2.0

Easily Play Notification Sounds on any Platform

beeswarm — 0.4.0

The Bee Swarm Plot, an Alternative to Stripchart

beezdemand — 0.1.2

Behavioral Economic Easy Demand

beezdiscounting — 0.3.1

Behavioral Economic Easy Discounting

befproj — 0.1.1

Makes a Local Population Projection

behaviorchange — 0.5.5

Tools for Behavior Change Researchers and Professionals

behavr — 0.3.2

Canonical Data Structure for Behavioural Data

BEKKs — 1.4.4

Multivariate Conditional Volatility Modelling and Forecasting

belex — 0.1.0

Download Historical Data from the Belgrade Stock Exchange

belg — 1.5.3

Boltzmann Entropy of a Landscape Gradient

BElikelihood — 1.1

Likelihood Method for Evaluating Bioequivalence

bellreg — 0.0.2.1

Count Regression Models Based on the Bell Distribution

bench — 1.1.3

High Precision Timing of R Expressions

benchden — 1.0.8

28 Benchmark Densities from Berlinet/Devroye (1994)

Benchmarking — 0.32

Benchmark and Frontier Analysis Using DEA and SFA

benchmarkme — 1.0.8

Crowd Sourced System Benchmarks

benchmarkmeData — 1.0.4

Data Set for the 'benchmarkme' Package

benchr — 0.2.5

High Precise Measurement of R Expressions Execution Time

BEND — 1.0

Bayesian Estimation of Nonlinear Data (BEND)

bender — 0.1.1

Bender Client

benford — 1.0.1

Benford's Analysis on Large Data Sets

benford.analysis — 0.1.5

Benford Analysis for Data Validation and Forensic Analytics

BenfordTests — 1.2.0

Statistical Tests for Evaluating Conformity to Benford's Law

BENMMI — 4.3-7

Benthic Multi-Metric Index

bennu — 0.3.0

Bayesian Estimation of Naloxone Kit Number Under-Reporting

bentcableAR — 0.3.1

Bent-Cable Regression for Independent Data or Autoregressive Time Series

benthos — 1.3-8

Marine Benthic Ecosystem Analysis

BeQut — 0.1.0

Bayesian Estimation for Quantile Regression Mixed Models

Bergm — 5.0.7

Bayesian Exponential Random Graph Models

Bernadette — 1.1.5

Bayesian Inference and Model Selection for Stochastic Epidemics

berryFunctions — 1.22.5

Function Collection Related to Plotting and Hydrology

bespatial — 0.1.2

Boltzmann Entropy for Spatial Data

BeSS — 2.0.4

Best Subset Selection in Linear, Logistic and CoxPH Models

Bessel — 0.6-1

Computations and Approximations for Bessel Functions

bestglm — 0.37.3

Best Subset GLM and Regression Utilities

besthr — 0.3.2

Generating Bootstrap Estimation Distributions of HR Data

Bestie — 0.1.5

Bayesian Estimation of Intervention Effects

bestNormalize — 1.9.1

Normalizing Transformation Functions

BESTree — 0.5.2

Branch-Exclusive Splits Trees

bestridge — 1.0.7

A Comprehensive R Package for Best Subset Selection

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