Helper Functions for Bayesian Analyses
As List
As List
Bernoulli Distribution
Check Index
Check Indices
Check Parameter Names
Bernoulli Deviances
Beta-Binomial Deviances
Binomial Deviances
Zero-Inflated Gamma-Poisson Deviances
Gamma-Poisson Deviances
Gamma Deviances
Log-Normal Deviances
Negative Binomial Deviances
Normal Deviances
Zero-Inflated Poisson Deviances
Poisson Deviances
Skew Normal Deviances
Student's t Deviances
Exponential Transformation of Base 10
Exponential Transformation of Base 2
extras: Helper Functions for Bayesian Analyses
Absolute
Fill All Values
Fill Missing Values
Inverse Log Transformation
Inverse Log Base 10 Transformation
Inverse Log Base 2 Transformation
Inverse Logistic Transformation
Inverse Logistic Transformation
Inverse Odds
Inverse Logistic Transformation
Kurtosis
Bernoulli Log-Likelihood
Beta-Binomial Log-Likelihood
Binomial Log-Likelihood
Zero-Inflated Gamma-Poisson Log-Likelihood
Gamma-Poisson Log-Likelihood
Gamma Log-Likelihood
Log-Normal Log-Likelihood
Negative Binomial Log-Likelihood
Normal Log-Likelihood
Zero-Inflated Poisson Log-Likelihood
Poisson Log-Likelihood
Skew Normal Log-Likelihood
Student's t Log-Likelihood
Log-Odds Ratio
Log Odds Ratio2
Inverse Log Odds Transformation
Log Odds
Log Transformation
Log Base 10 Transformation
Log Base 2 Transformation
Logistic Transformation
Logistic Transformation
Lower Credible Limit
Numericise (or Numericize)
Odds Ratio
Odds Ratio2
Inverse Odds Transformation
Odds
Parameter Pattern
Parameter Descriptions
Extreme Probability
Phi
Power
Proportional Change
Proportional Change2
Proportional Difference
Proportional Difference2
Bayesian P-Value
Proportion of Zeros
Bernoulli Random Samples
Beta-Binomial Random Samples
Binomial Random Samples
Zero-Inflated Gamma-Poisson Random Samples
Gamma-Poisson Random Samples
Gamma Random Samples
Log-Normal Random Samples
Negative Binomial Random Samples
Normal Random Samples
Zero-Inflated Poisson Random Samples
Poisson Random Samples
Skew Normal Random Samples
Student's t Random Samples
Bernoulli Residuals
Beta-Binomial Residuals
Binomial Residuals
Zero-Inflated Gamma-Poisson Residuals
Gamma-Poisson Residuals
Gamma Residuals
Log-Normal Residuals
Negative Binomial Residuals
Normal Residuals
Zero-Inflated Poisson Residuals
Poisson Residuals
Skew Normal Residuals
Student's t Residuals
Adjust Beta Distribution Parameters for Sensitivity Analyses
Adjust Exponential Distribution Parameters for Sensitivity Analyses
Adjust Zero-Inflated Gamma-Poisson Distribution Parameters for Sensiti...
Adjust Gamma-Poisson Distribution Parameters for Sensitivity Analyses
Adjust Gamma Distribution Parameters for Sensitivity Analyses
Adjust Log-Normal Distribution Parameters for Sensitivity Analysis
Adjust Negative Binomial Distribution Parameters for Sensitivity Analy...
Adjust Normal Distribution Parameters for Sensitivity Analyses
Adjust Poisson Distribution Parameters for Sensitivity Analyses
Adjust Skew Normal Distribution Parameters for Sensitivity Analyses
Adjust Student's t Distribution Parameters for Sensitivity Analyses
Extreme Surprisal
Skewness
Skew-Normal Distribution
Step
Surprisal Value
Upper Credible Limit
Variance
Mean
Median
Standard Deviation
Zeros
Z-Score
Functions to 'numericise' 'R' objects (coerce to numeric objects), summarise 'MCMC' (Monte Carlo Markov Chain) samples and calculate deviance residuals as well as 'R' translations of some 'BUGS' (Bayesian Using Gibbs Sampling), 'JAGS' (Just Another Gibbs Sampler), 'STAN' and 'TMB' (Template Model Builder) functions.
Useful links