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conting (version 1.4)

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

24

Version

1.4

License

GPL-2

Maintainer

Antony M Overstall

Last Published

December 3rd, 2014

Functions in conting (1.4)

accept_rate

Compute Acceptance Rates for Metropolis-Hastings and Reversible Jump Algorithms
conting-package

Bayesian Analysis of Complete and Incomplete Contingency Tables
bcct

Bayesian Analysis of Complete Contingency Tables
find_cens

Find Censored Cells
formula2index

Convert Between Formula and Index
beta_mode

Posterior Mode
inter_probs

Calculate Posterior Probability of Each Term
iwls_mh

Iterated Weighted Least Square Metropolis Hastings Algorithm
summary.bcct

Summary of bcct and bict Objects
heart

Risk Factors for Coronary Heart Disease: A Complete 2^6 Table
print.bcct

Print bcct and bict Objects
inter_stats

Compute Posterior Summary Statistics of the Log-Linear Parameters.
plot.pval

Plot pval Objects
bict.fit

Bayesian Analysis of Incomplete Contingency Tables
total_pop

Evaluate Posterior Distribution of Total Population Size
plot.totpop

Plot totpop Objects
spina

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

Alcohol, Obesity and Hypertension: A Complete 4 * 3 * 2 Table
print.pval

Print pval Objects
bict

Bayesian Analysis of Incomplete Contingency Tables
print.submod

Print submod Objects
print.totpop

Print totpop Objects
print.interstat

Print interstat Objects
print.modprobs

Print modprobs Objects
RJ_update

Reversible Jump Algorithm
add_term

Determines Model Moves Given Current Model
index2model

Convert Between Index and Model Indicator
print.interprob

Print interprob Objects
ScotPWID

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

Compute Bayesian p-value
bcct.fit

Bayesian Analysis of Complete Contingency Tables
print.acceptrate

Prints acceptrate Objects
mod_probs

Compute Posterior Model Probabilities
sub_model

Compute Posterior Summary Statistics for (Sub-) Models