pStrel

takes a mcmc posterior sample of any of the single test reliability estimates
and calculates the prior and posterior probability of the estimate being bigger
or smaller than an arbitrary value (priors are stored in the package)

Functionality for reliability estimates. For 'unidimensional' tests:
Coefficient alpha, 'Guttman's' lambda-2/-4/-6, the Greatest lower
bound and coefficient omega_u ('unidimensional') in a Bayesian and a frequentist version.
For multidimensional tests: omega_t (total) and omega_h (hierarchical).
The results include confidence and credible intervals, the
probability of a coefficient being larger than a cutoff,
and a check for the factor models, necessary for the omega coefficients.
The method for the Bayesian 'unidimensional' estimates, except for omega_u,
is sampling from the posterior inverse 'Wishart' for the
covariance matrix based measures (see 'Murphy', 2007,
<https://groups.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>.
The Bayesian omegas (u, t, and h) are obtained by
'Gibbs' sampling from the conditional posterior distributions of
(1) the single factor model, (2) the second-order factor model, (3) the bi-factor model,
(4) the correlated factor model
('Lee', 2007, <doi:10.1002/9780470024737>).

Julius Pfadt

Bayesrel

Bayesian Reliability Estimation

Julius M. Pfadt

Don van den Bergh

Joris Goosen

pStrel function

<dl><dt>x</dt>
<dd>A strel output object (list)</dd>
<dt>estimate</dt>
<dd>A character string indicating what estimate to plot from the strel output object</dd>
<dt>low.bound</dt>
<dd>A number for the threshold to be tested against</dd></dl>

Arguments

prior and posterior probability of estimate being bigger than threshold — pStrel

<dl>

<dt>x</dt>
<dd>A strel output object (list)</dd>


<dt>estimate</dt>
<dd>A character string indicating what estimate to plot from the strel output object</dd>


<dt>low.bound</dt>
<dd>A number for the threshold to be tested against</dd>

</dl>

pStrel: prior and posterior probability of estimate being bigger than threshold

Description

Usage

Arguments

Examples