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BayesDissolution (version 0.2.1)

Bayesian Models for Dissolution Testing

Description

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) . 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.

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Version

Install

install.packages('BayesDissolution')

Monthly Downloads

226

Version

0.2.1

License

GPL-2

Maintainer

Tony Pourmohamad

Last Published

April 30th, 2024

Functions in BayesDissolution (0.2.1)

bmn

Bayesian Multivariate Normal Model for Dissolution Profile Modeling
dis_data

A dissolution data set taken from Ocana et al. (2009).
dissplot

Dissolution Data Plot
f2bayes

Calculation of a Bayesian 100*prob% credible interval for the F2 parameter
ggdissplot

Dissolution Data Plot
f2boot

Calculation of a bootstrap 100*level% confidence interval for the F2 parameter
f2gpq

Calculation of a generalized pivotal quantity 100*level% confidence interval for the F2 parameter
process_results

Helper function for processing results
f2pbs

Calculation of a parametric bootstrap 100*level% confidence interval for the F2 parameter
f2calc

Calculation of the f2 Statistic
f2bca

Calculation of a biased-corrected and accepted 100*level% confidence interval for the F2 parameter
make_dis_data

Class dis_data creation
runExample

Run BayesDissolution Shiny App
hgp

Hierarchical Gaussian Process Model for Dissolution Profile Modeling