multibridge1.3.0 package

Evaluating Multinomial Order Restrictions with Bridge Sampling

bayes_factor.bmult

Extracts information about computed Bayes factors from object of class...

bayes_factor

S3 method for class 'bayes_factor.bmult'

binom_bf_equality

Computes Bayes Factors For Equality Constrained Binomial Parameters

binom_bf_inequality

Computes Bayes Factors For Inequality Constrained Independent Binomial...

binom_bf_informed

Evaluates Informed Hypotheses on Multiple Binomial Parameters

binom_tsampling

Samples From Truncated Beta Densities

bridge_output.bmult

Extracts bridge sampling output from object of class bmult

bridge_output

S3 method for class bridge_output.bmult

dot-adjustUpperBoundForFreeParameters

Adjusts Upper Bound For Free Parameters

dot-computeLengthOfRemainingStick

Computes Length Of Remaining Stick

generate_restriction_list

Creates Restriction List Based On User Specified Informed Hypothesis

mult_bf_equality

Computes Bayes Factors For Equality Constrained Multinomial Parameters

mult_bf_inequality

Computes Bayes Factors For Inequality Constrained Multinomial Paramete...

mult_bf_informed

Evaluates Informed Hypotheses on Multinomial Parameters

mult_tsampling

Samples From Truncated Dirichlet Density

plot.summary.bmult

Plot estimates

print.bmult_bridge

Print method for class bmult_bridge

print.bmult

print method for class bmult

print.summary.bmult_bridge

print method for class summary.bmult_bridge

print.summary.bmult

print method for class summary.bmult

restriction_list.bmult

Extracts restriction list from an object of class bmult

restriction_list

S3 method for class restriction_list.bmult

samples.bmult

Extracts prior and posterior samples (if applicable) from an object of...

samples

S3 method for class 'samples.bmult'

summary.bmult_bridge

summary method for class bmult_bridge

summary.bmult

summary method for class bmult

tbinom_backtrans

Backtransforms Samples From Real Line To Beta Parameters

tbinom_trans

Transforms Truncated Beta Samples To Real Line

tdir_backtrans

Backtransforms Samples From Real Line To Dirichlet Parameters

tdir_trans

Transforms Truncated Dirichlet Samples To Real Line

Download source packageRead PDF manual

Evaluate hypotheses concerning the distribution of multinomial proportions using bridge sampling. The bridge sampling routine is able to compute Bayes factors for hypotheses that entail inequality constraints, equality constraints, free parameters, and mixtures of all three. These hypotheses are tested against the encompassing hypothesis, that all parameters vary freely or against the null hypothesis that all category proportions are equal. For more information see Sarafoglou et al. (2020) <doi:10.31234/osf.io/bux7p>.

  • Maintainer: Alexandra Sarafoglou
  • License: GPL-2
  • Last published: 2025-12-03

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