.adjustUpperBoundForFreeParameters

matrix with samples from truncated Dirichlet density

theta_mat

upper

vector of multiplicative elements of collapsed parameters

nr_mult_equal

index of parameters that are smaller than the current one

smaller_values

index of parameters that are larger than the current one

larger_values

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

hyp_direction

Corrects the upper bound for current parameter. This correction only applies for parameters that are free to vary within
the restriction. Then the length of the remaining stick must be based on the largest free parameter value.

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

.adjustUpperBoundForFreeParameters function

<dl><dt>theta_mat</dt>
<dd>matrix with samples from truncated Dirichlet density</dd>
<dt>k</dt>
<dd>current parameter index</dd>
<dt>upper</dt>
<dd>current upper bound</dd>
<dt>nr_mult_equal</dt>
<dd>vector of multiplicative elements of collapsed parameters</dd>
<dt>smaller_values</dt>
<dd>index of parameters that are smaller than the current one</dd>
<dt>larger_values</dt>
<dd>index of parameters that are larger than the current one</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

Adjusts Upper Bound For Free Parameters — .adjustUpperBoundForFreeParameters

<dl>

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


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


<dt>upper</dt>
<dd>current upper bound</dd>


<dt>nr_mult_equal</dt>
<dd>vector of multiplicative elements of collapsed parameters</dd>


<dt>smaller_values</dt>
<dd>index of parameters that are smaller than the current one</dd>


<dt>larger_values</dt>
<dd>index of parameters that are larger than the current one</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>

.adjustUpperBoundForFreeParameters: Adjusts Upper Bound For Free Parameters

Description

Usage

Value

Arguments