gfiQuantile

Quantiles of the fiducial distribution of a parameter of 
 interest.

Simulation of the generalized fiducial distribution for
normal linear mixed models with interval data. Fiducial inference is
somehow similar to Bayesian inference, in the sense that it is based
on a distribution that represents the uncertainty about the
parameters, like the posterior distribution in Bayesian statistics. It
does not require a prior distribution, and it yields results close to
frequentist results. Reference: Cisewski and Hannig (2012)
<doi:10.1214/12-AOS1030>.

Stc3<a9>phane Laurent

gfilmm

Generalized Fiducial Inference for Normal Linear Mixed Models

Stéphane Laurent

Jessi Cisewski

gfiQuantile function

<dl><dt>parameter</dt>
<dd>a right-sided formula defining the parameter of interest, 
like <code>~ sigma_error/`(Intercept)`</code></dd>
<dt>gfi</dt>
<dd>a <code>gfilmm</code> object (output of <code>gfilmm</code> or 
<code>gfilmmPredictive</code>)</dd>
<dt>probs</dt>
<dd>numeric vector of probabilities</dd></dl>

Arguments

Quantiles of a fiducial distribution — gfiQuantile

<dl>

<dt>parameter</dt>
<dd>a right-sided formula defining the parameter of interest, 
like <code>~ sigma_error/`(Intercept)`</code></dd>


<dt>gfi</dt>
<dd>a <code>gfilmm</code> object (output of <code>gfilmm</code> or 
<code>gfilmmPredictive</code>)</dd>


<dt>probs</dt>
<dd>numeric vector of probabilities</dd>

</dl>

gfiQuantile: Quantiles of a fiducial distribution

Description

Usage

Value

Arguments

Examples