.computeLengthOfRemainingStick

matrix with samples from truncated Dirichlet density

theta_mat

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

hyp_direction

When applying the probit transformation on the Dirichlet samples, this function is used as part of the stick-breaking
algorithm. It computes the length of the remaining stick when the current element is broken off.

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>.

Alexandra Sarafoglou

multibridge

Evaluating Multinomial Order Restrictions with Bridge Sampling

Frederik Aust

Julia M. Haaf

Joris Goosen

Quentin F. Gronau

Maarten Marsman

.computeLengthOfRemainingStick function

<dl><dt>theta_mat</dt>
<dd>matrix with samples from truncated Dirichlet density</dd>
<dt>k</dt>
<dd>current parameter index</dd>
<dt>hyp_direction</dt>
<dd>specifies whether the imposed inequality constrained imposes an increasing (i.e., 'smaller') or
decreasing (i.e., 'larger') trend</dd></dl>

Arguments

Computes Length Of Remaining Stick — .computeLengthOfRemainingStick

<dl>

<dt>theta_mat</dt>
<dd>matrix with samples from truncated Dirichlet density</dd>


<dt>k</dt>
<dd>current parameter index</dd>


<dt>hyp_direction</dt>
<dd>specifies whether the imposed inequality constrained imposes an increasing (i.e., 'smaller') or
decreasing (i.e., 'larger') trend</dd>

</dl>

.computeLengthOfRemainingStick: Computes Length Of Remaining Stick

Description

Usage

Value

Arguments