f2calc

This function calculates the f2 statistic as described in Moore and Flanner (1996).

Fits Bayesian models (amongst others) to dissolution data sets that can be used for dissolution testing. The package was originally constructed to include only the Bayesian models outlined in Pourmohamad et al. (2022) <doi:10.1111/rssc.12535>. However, additional Bayesian and non-Bayesian models (based on bootstrapping and generalized pivotal quanties) have also been added. More models may be added over time.

Tony Pourmohamad

BayesDissolution

Bayesian Models for Dissolution Testing

Steven Novick

Robert Richardson

f2calc function

<dl><dt>dis_data</dt>
<dd>A data frame containing the dissolution data. The first column of the data frame should denote
the group labels identifying whether a given dissolution belongs to the "reference" or "test" formulation group.
For a given dissolution run, the remaining columns of the data frame contains the individual run's dissolution
measurements sorted in time. Alternatively, the user may provide a data object of class dis_data containing the
dissolution data. See the <code>make_dis_data()</code> function for the particular structure of the data object.</dd></dl>

Arguments

Calculation of the f2 Statistic — f2calc

<dl>

<dt>dis_data</dt>
<dd>A data frame containing the dissolution data. The first column of the data frame should denote
the group labels identifying whether a given dissolution belongs to the "reference" or "test" formulation group.
For a given dissolution run, the remaining columns of the data frame contains the individual run's dissolution
measurements sorted in time. Alternatively, the user may provide a data object of class dis_data containing the
dissolution data. See the <code>make_dis_data()</code> function for the particular structure of the data object.</dd>

</dl>

f2calc: Calculation of the f2 Statistic

Description

Usage

Value

Arguments

References

Examples