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conting (version 1.7)

Bayesian Analysis of Contingency Tables

Description

Bayesian analysis of complete and incomplete contingency tables.

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Version

Install

install.packages('conting')

Monthly Downloads

44

Version

1.7

License

GPL-2

Maintainer

Antony Overstall

Last Published

April 2nd, 2019

Functions in conting (1.7)

beta_mode

Posterior Mode
index2model

Convert Between Index and Model Indicator
heart

Risk Factors for Coronary Heart Disease: A Complete 2^6 Table
bict

Bayesian Analysis of Incomplete Contingency Tables
add_term

Determines Model Moves Given Current Model
bayespval

Compute Bayesian p-value
inter_probs

Calculate Posterior Probability of Each Term
AOH

Alcohol, Obesity and Hypertension: A Complete 4 * 3 * 2 Table
RJ_update

Reversible Jump Algorithm
inter_stats

Compute Posterior Summary Statistics of the Log-Linear Parameters.
print.submod

Print submod Objects
ScotPWID

People Who Inject Drugs in Scotland 2006: An Incomplete 2^7 Table
accept_rate

Compute Acceptance Rates for Metropolis-Hastings and Reversible Jump Algorithms
iwls_mh

Iterated Weighted Least Square Metropolis Hastings Algorithm
find_cens

Find Censored Cells
print.totpop

Print totpop Objects
mod_probs

Compute Posterior Model Probabilities
print.acceptrate

Prints acceptrate Objects
print.modprobs

Print modprobs Objects
print.pval

Print pval Objects
spina

Persons born with Spina Bifida: An Incomplete 2 * 2 * 2 * 3 Table
sub_model

Compute Posterior Summary Statistics for (Sub-) Models
formula2index

Convert Between Formula and Index
print.bcct

Print bcct and bict Objects
print.interprob

Print interprob Objects
print.interstat

Print interstat Objects
bcct

Bayesian Analysis of Complete Contingency Tables
bcct.fit

Bayesian Analysis of Complete Contingency Tables
bict.fit

Bayesian Analysis of Incomplete Contingency Tables
conting-package

Bayesian Analysis of Complete and Incomplete Contingency Tables
plot.pval

Plot pval Objects
plot.totpop

Plot totpop Objects
summary.bcct

Summary of bcct and bict Objects
total_pop

Evaluate Posterior Distribution of Total Population Size