tbinom_trans

matrix with samples from truncated beta density

theta_mat

list containing indices for upper and lower truncation boundaries

boundaries

multiplicative elements for each lower and upper bound of each inequality constrained parameter.

binom_equal

specifies whether the imposed inequality constrained imposes an increasing (i.e., 'smaller') or
decreasing (i.e., 'larger') trend

hyp_direction

Transforms samples from a truncated beta density to the real line using a stick-breaking algorithm.
This algorithm is suitable for mixtures of equality constrained parameters, inequality constrained parameters,
and free parameters

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>.

tbinom_trans: Transforms Truncated Beta Samples To Real Line

Description

Usage

Arguments

Value