Manipulate ObjectsFunctions to numericise and fill objects |
|
---|---|
Numericise (or Numericize) |
|
Fill Missing Values |
|
Fill All Values |
|
Summary FunctionsFunctions to summarise MCMC vectors as scalars |
|
Lower Credible Limit |
|
Upper Credible Limit |
|
Z-Score |
|
Bayesian P-Value |
|
Surprisal Value |
|
Mean |
|
Median |
|
Standard Deviation |
|
Variance |
|
Skewness |
|
Kurtosis |
|
Zeros |
|
Proportion of Zeros |
|
Conversion FunctionsConversion functions |
|
Absolute |
|
Exponential Transformation of Base 2 |
|
Exponential Transformation of Base 10 |
|
Inverse Log Transformation |
|
Inverse Log Base 2 Transformation |
|
Inverse Log Base 10 Transformation |
|
Inverse Logistic Transformation |
|
Inverse Logistic Transformation |
|
Inverse Odds |
|
Log Base 2 Transformation |
|
Log Base 10 Transformation |
|
Logistic Transformation |
|
Odds |
|
Phi |
|
Power |
|
Odds FunctionsOdds functions |
|
Inverse Odds |
|
Log Odds |
|
Inverse Log Odds Transformation |
|
Log-Odds Ratio |
|
Log Odds Ratio2 |
|
Odds |
|
Inverse Odds Transformation |
|
Odds Ratio |
|
Odds Ratio2 |
|
Proportional FunctionsProportional functions |
|
Proportional Change |
|
Proportional Change2 |
|
Proportional Difference |
|
Proportional Difference2 |
|
TranslationsTranslations of BUGS/JAGS functions |
|
Absolute |
|
Inverse Log Transformation |
|
Inverse Logistic Transformation |
|
Inverse Logistic Transformation |
|
Inverse Logistic Transformation |
|
Log Transformation |
|
Logistic Transformation |
|
Logistic Transformation |
|
Phi |
|
Power |
|
Step |
|
Checks and ValidationFunctions to check argument values |
|
Check Parameter Names |
|
Check Index |
|
Check Indices |
|
DevianceDeviances and Deviance Residuals |
|
Bernoulli Deviances |
|
Beta-Binomial Deviances |
|
Binomial Deviances |
|
Gamma Deviances |
|
Gamma-Poisson Deviances |
|
Zero-Inflated Gamma-Poisson Deviances |
|
Log-Normal Deviances |
|
Negative Binomial Deviances |
|
Normal Deviances |
|
Poisson Deviances |
|
Zero-Inflated Poisson Deviances |
|
Skew Normal Deviances |
|
Student's t Deviances |
|
ResidualRaw and Deviance Residuals |
|
Bernoulli Residuals |
|
Beta-Binomial Residuals |
|
Binomial Residuals |
|
Gamma Residuals |
|
Gamma-Poisson Residuals |
|
Zero-Inflated Gamma-Poisson Residuals |
|
Log-Normal Residuals |
|
Negative Binomial Residuals |
|
Normal Residuals |
|
Poisson Residuals |
|
Zero-Inflated Poisson Residuals |
|
Skew Normal Residuals |
|
Student's t Residuals |
|
Log-LikelihoodLog-likelihood functions |
|
Bernoulli Log-Likelihood |
|
Beta-Binomial Log-Likelihood |
|
Binomial Log-Likelihood |
|
Gamma Log-Likelihood |
|
Gamma-Poisson Log-Likelihood |
|
Zero-Inflated Gamma-Poisson Log-Likelihood |
|
Log-Normal Log-Likelihood |
|
Negative Binomial Log-Likelihood |
|
Normal Log-Likelihood |
|
Poisson Log-Likelihood |
|
Zero-Inflated Poisson Log-Likelihood |
|
Skew Normal Log-Likelihood |
|
Student's t Log-Likelihood |
|
RandomRandom sample functions |
|
Bernoulli Random Samples |
|
Beta-Binomial Random Samples |
|
Binomial Random Samples |
|
Gamma Random Samples |
|
Gamma-Poisson Random Samples |
|
Zero-Inflated Gamma-Poisson Random Samples |
|
Log-Normal Random Samples |
|
Negative Binomial Random Samples |
|
Normal Random Samples |
|
Poisson Random Samples |
|
Zero-Inflated Poisson Random Samples |
|
Skew Normal Random Samples |
|
Student's t Random Samples |
|
BernoulliBernoulli distribution functions |
|
Bernoulli Distribution |
|
Skew NormalSkew Normal distribution functions |
|
Skew-Normal Distribution |
|
MiscellaneousMiscellaneous functions |
|
Parameter Pattern |
|
GenericsGeneric Functions |
|
As List |
|
DeprecatedDeprecated functions |
|
Extreme Probability |
|
Extreme Surprisal |
|
As List |