Package index

Bayesian Estimation

Functions for Bayesian estimation.

Conjugate Priors

Functions for conjugate priors.

inz_dNIG()

Normal-Inverse-Gamma Distribution for Prior and Posterior

inz_dbeta()

Beta Distribution for Prior and Posterior

inz_ddir()

Dirichlet Distribution for Prior and Posterior

inz_lbinom()

Construct a Likelihood Object for Binomial Data

inz_lmulti()

Construct a Likelihood Object for Multinomial Data

inz_lnorm()

Construct a Likelihood Object for Normal Data

calculate_posterior()

Calculate the Posterior Distribution

Other

Other functions, work in progress.

calc()

Calculate statistics

estimate_lm()

Estimate a linear regression model

estimate_mean()

Estimate the sample mean

estimate_proportions()

Exact posterior for proportions of one categorical variable

gibbs_anova()

Gibbs sampler for one-way ANOVA

gibbs_lm()

Gibbs Sample for Linear Regression

gibbs_lm_R()

Gibbs sampler for linear regression

gibbs_mean()

Gibbs Sample for Single Mean and Variance

print(<inzposterior>) summary(<inzposterior>) summary(<inzexact>) print(<inzexactsummary>) plot(<inzposterior>) plot(<inzexact>) mean(<inzposterior>)

iNZight Posterior Object

summary(<inz_dbeta>) summary(<inz_ddir>) summary(<inz_dNIG>) summary(<inz_dNIG_reg>)

Posterior Object Summary

iNZightBayes-package iNZightBayes

iNZightBayes

rdirichlet()

The Dirichlet Distribution