Bayesian Inference for Multinomial Models with Inequality Constraints

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Documentation for package ‘multinomineq’ version 0.2.6

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

multinomineq-package	multinomineq: Bayesian Inference for Inequality-Constrained Multinomial Models
Ab_drop_fixed	Drop fixed columns in the Ab-Representation
Ab_max	Automatic Construction of Ab-Representation for Common Inequality Constraints
Ab_multinom	Get Constraints for Product-Multinomial Probabilities
Ab_sort	Sort Inequalities by Acceptance Rate
Ab_to_V	Transform Vertex/Inequality Representation of Polytope
add_fixed	Drop or Add Fixed Dimensions for Multinomial Probabilities/Frequencies
bf_binom	Bayes Factor for Linear Inequality Constraints
bf_equality	Bayes Factor with Inequality and (Approximate) Equality Constraints
bf_multinom	Bayes Factor for Linear Inequality Constraints
bf_nonlinear	Bayes Factor for Nonlinear Inequality Constraints
binom_to_multinom	Converts Binary to Multinomial Frequencies
count_binom	Count How Many Samples Satisfy Linear Inequalities (Binomial)
count_multinom	Count How Many Samples Satisfy Linear Inequalities (Multinomial)
count_nonlinear	Bayes Factor for Nonlinear Inequality Constraints
count_to_bf	Compute Bayes Factor Using Prior/Posterior Counts
drop_fixed	Drop or Add Fixed Dimensions for Multinomial Probabilities/Frequencies
find_inside	Find a Point/Parameter Vector Within a Convex Polytope
heck2017	Data: Multiattribute Decisions (Heck, Hilbig & Moshagen, 2017)
heck2017_raw	Data: Multiattribute Decisions (Heck, Hilbig & Moshagen, 2017)
hilbig2014	Data: Multiattribute Decisions (Hilbig & Moshagen, 2014)
inside	Check Whether Points are Inside a Convex Polytope
inside_binom	Check Whether Choice Frequencies are in Polytope
inside_multinom	Check Whether Choice Frequencies are in Polytope
karabatsos2004	Data: Item Responses Theory (Karabatsos & Sheu, 2004)
ml_binom	Maximum-likelihood Estimate
ml_multinom	Maximum-likelihood Estimate
model_weights	Get Posterior/NML Model Weights
multinomineq	multinomineq: Bayesian Inference for Inequality-Constrained Multinomial Models
nirt_to_Ab	Nonparametric Item Response Theory (NIRT)
population_bf	Aggregation of Individual Bayes Factors
postprob	Transform Bayes Factors to Posterior Model Probabilities
ppp_binom	Posterior Predictive p-Values
ppp_multinom	Posterior Predictive p-Values
regenwetter2012	Data: Ternary Risky Choices (Regenwetter & Davis-Stober, 2012)
rpbinom	Random Generation for Independent Multinomial Distributions
rpdirichlet	Random Samples from the Product-Dirichlet Distribution
rpmultinom	Random Generation for Independent Multinomial Distributions
sampling_binom	Posterior Sampling for Inequality-Constrained Multinomial Models
sampling_multinom	Posterior Sampling for Inequality-Constrained Multinomial Models
sampling_nonlinear	Posterior Sampling for Multinomial Models with Nonlinear Inequalities
stochdom_Ab	Ab-Representation for Stochastic Dominance of Histogram Bins
stochdom_bf	Bayes Factor for Stochastic Dominance of Continuous Distributions
strategy_marginal	Log-Marginal Likelihood for Decision Strategy
strategy_multiattribute	Strategy Predictions for Multiattribute Decisions
strategy_postprob	Strategy Classification: Posterior Model Probabilities
strategy_to_Ab	Transform Pattern of Predictions to Polytope
strategy_unique	Unique Patterns/Item Types of Strategy Predictions
swop5	Strict Weak Order Polytope for 5 Elements and Ternary Choices
V_to_Ab	Transform Vertex/Inequality Representation of Polytope