Tools for Behavior Change Researchers and Professionals

Canonical Data Structure for Behavioural Data

Multivariate Conditional Volatility Modelling and Forecasting

Download Historical Data from the Belgrade Stock Exchange

Boltzmann Entropy of a Landscape Gradient

Likelihood Method for Evaluating Bioequivalence

Count Regression Models Based on the Bell Distribution

28 Benchmark Densities from Berlinet/Devroye (1994)

Benchmark and Frontier Analysis Using DEA and SFA

Bayesian Estimation of Nonlinear Data (BEND)

Benford Analysis for Data Validation and Forensic Analytics
R package benford.analysis version 0.1.5

Statistical Tests for Evaluating Conformity to Benford's Law

Bayesian Estimation of Naloxone Kit Number Under-Reporting

Bent-Cable Regression for Independent Data or Autoregressive
Time Series

Bayesian Estimation for Quantile Regression Mixed Models

Bayesian Exponential Random Graph Models

Compute and Summarize Core Forest Metrics from Field Data
R package BerkeleyForestsAnalytics version 2.0.4

Bayesian Inference and Model Selection for Stochastic Epidemics

Function Collection Related to Plotting and Hydrology
R package berryFunctions version 1.22.13

Best Subset Selection in Linear, Logistic and CoxPH Models

Computations and Approximations for Bessel Functions

Best Subset GLM and Regression Utilities

Generating Bootstrap Estimation Distributions of HR Data

Bayesian Estimation of Intervention Effects

Burden Estimate of Common Communicable Diseases in Settlements
of Displaced Populations
R package bestSDP version 0.1.2

Mini Games from Adventures of Beta and Bit

A Family of Beta Mixture Models for Clustering Beta-Valued DNA
Methylation Data
R package betaclust version 1.0.5

Confidence Intervals for Standardized Regression Coefficients

Functions for Working with Two- And Four-Parameter Beta
Probability Distributions and Psychometric Analysis of
Classifications
R package betafunctions version 1.9.0

Partitioning Beta Diversity into Turnover and Nestedness
Components

Calculate Power and Sample Size with Beta Regression