All packages

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BayesPostEst — 0.3.2

Generate Postestimation Quantities for Bayesian MCMC Estimation

BayesPPD — 1.1.2

Bayesian Power Prior Design

BayesPPDSurv — 1.0.3

Bayesian Power Prior Design for Survival Data

BayesProject — 1.0

Fast Projection Direction for Multivariate Changepoint Detection

bayesQR — 2.4

Bayesian Quantile Regression

bayesRecon — 0.2.0

Probabilistic Reconciliation via Conditioning

bayesreg — 1.2

Bayesian Regression Models with Global-Local Shrinkage Priors

Bayesrel — 0.7.7

Bayesian Reliability Estimation

BayesRep — 0.42.2

Bayesian Analysis of Replication Studies

BayesRepDesign — 0.42

Bayesian Design of Replication Studies

BayesReversePLLH — 1.5

Fits the Bayesian Piecewise Linear Log-Hazard Model

BayesRGMM — 2.2

Bayesian Robust Generalized Mixed Models for Longitudinal Data

bayesROE — 0.2

Bayesian Regions of Evidence

BayesRS — 0.1.3

Bayes Factors for Hierarchical Linear Models with Continuous Predictors

bayesrules — 0.0.2

Datasets and Supplemental Functions from Bayes Rules! Book

bayess — 1.6

Bayesian Essentials with R

BayesS5 — 1.41

Bayesian Variable Selection Using Simplified Shotgun Stochastic Search with Screening (S5)

BayesSampling — 1.1.0

Bayes Linear Estimators for Finite Population

BayesSenMC — 0.1.5

Different Models of Posterior Distributions of Adjusted Odds Ratio

BayesSUR — 2.1-7

Bayesian Seemingly Unrelated Regression

bayesSurv — 3.7

Bayesian Survival Regression with Flexible Error and Random Effects Distributions

BayesSurvival — 0.2.0

Bayesian Survival Analysis for Right Censored Data

BayesSurvive — 0.0.1

Bayesian Survival Models for High-Dimensional Data

bayest — 1.5

Effect Size Targeted Bayesian Two-Sample t-Tests via Markov Chain Monte Carlo in Gaussian Mixture Models

bayestestR — 0.13.2

Understand and Describe Bayesian Models and Posterior Distributions

bayesTFR — 7.4-2

Bayesian Fertility Projection

BayesTools — 0.2.17

Tools for Bayesian Analyses

BayesTree — 0.3-1.5

Bayesian Additive Regression Trees

BayesTreePrior — 1.0.1

Bayesian Tree Prior Simulation

BayesTwin — 1.0

Bayesian Analysis of Item-Level Twin Data

BayesVarSel — 2.2.5

Bayes Factors, Model Choice and Variable Selection in Linear Models

bayesvl — 0.8.5

Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan'

bayesWatch — 0.1.3

Bayesian Change-Point Detection for Process Monitoring with Fault Detection

BayesX — 0.3-3

R Utilities Accompanying the Software Package BayesX

BayesXsrc — 3.0-5

Distribution of the 'BayesX' C++ Sources

bayesZIB — 0.0.5

Bayesian Zero-Inflated Bernoulli Regression Model

bayfoxr — 0.0.1

Global Bayesian Foraminifera Core Top Calibration

baygel — 0.3.0

Bayesian Shrinkage Estimators for Precision Matrices in Gaussian Graphical Models

bayMDS — 2.0

Bayesian Multidimensional Scaling and Choice of Dimension

baymedr — 0.1.1

Computation of Bayes Factors for Common Biomedical Designs

baystability — 0.1.0

Bayesian Stability Analysis of Genotype by Environment Interaction (GEI)

BAYSTAR — 0.2-10

On Bayesian Analysis of Threshold Autoregressive Models

baytrends — 2.0.11

Long Term Water Quality Trend Analysis

bazar — 1.0.11

Miscellaneous Basic Functions

BB — 2019.10-1

Solving and Optimizing Large-Scale Nonlinear Systems

bbdetection — 1.0

Identification of Bull and Bear States of the Market

BBEST — 0.1-8

Bayesian Estimation of Incoherent Neutron Scattering Backgrounds

BBI — 0.3.0

Benthic Biotic Indices Calculation from Composition Data

bbk — 0.1.0

Client for the Bundesbank API

bbknnR — 1.1.1

Perform Batch Balanced KNN in R

bbl — 1.0.0

Boltzmann Bayes Learner

BBmisc — 1.13

Miscellaneous Helper Functions for B. Bischl

bbmix — 1.0.0

Bayesian Model for Genotyping using RNA-Seq

bbmle — 1.0.25.1

Tools for General Maximum Likelihood Estimation

bbotk — 0.8.0

Black-Box Optimization Toolkit

bbreg — 2.0.2

Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data

BBSSL — 0.1.0

Bayesian Bootstrap Spike-and-Slab LASSO

bbw — 0.2.0

Blocked Weighted Bootstrap

bc3net — 1.0.4

Gene Regulatory Network Inference with Bc3net

BCA1SG — 0.1.0

Block Coordinate Ascent with One-Step Generalized Rosen Algorithm

bcaboot — 0.2-3

Bias Corrected Bootstrap Confidence Intervals

BCBCSF — 1.0-1

Bias-Corrected Bayesian Classification with Selected Features

BCC1997 — 0.1.1

Calculation of Option Prices Based on a Universal Solution

BCClong — 1.0.2

Bayesian Consensus Clustering for Multiple Longitudinal Features

bccp — 0.5.0

Bias Correction under Censoring Plan

BCDAG — 1.1.0

Bayesian Structure and Causal Learning of Gaussian Directed Graphs

bcdata — 0.4.1

Search and Retrieve Data from the BC Data Catalogue

BCDating — 0.9.8

Business Cycle Dating and Plotting Tools

BcDiag — 1.0.10

Diagnostics Plots for Bicluster Data

BCEA — 2.4.6

Bayesian Cost Effectiveness Analysis

BCEE — 1.3.2

The Bayesian Causal Effect Estimation Algorithm

bcf — 2.0.2

Causal Inference using Bayesian Causal Forests

bcfrailph — 0.1.1

Semiparametric Bivariate Correlated Frailty Models Fit

bcfrailphdv — 0.1.1

Bivariate Correlated Frailty Models with Varied Variances

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 — 0.4.0

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 — 18.2.2

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 — 2.72

Bayesian Structure Learning in Graphical Models using Birth-Death MCMC

bdl — 1.0.5

Interface and Tools for 'BDL' API

bdlp — 0.9-2

Transparent and Reproducible Artificial Data Generation

bdots — 1.2.5

Bootstrapped Differences of Time Series

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