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SimDissolution  

Modeling and Assessing Similarity of Drug Dissolutions Profiles
View on CRAN: Click here


Download and install SimDissolution package within the R console
Install from CRAN:
install.packages("SimDissolution")

Install from Github:
library("remotes")
install_github("cran/SimDissolution")

Install by package version:
library("remotes")
install_version("SimDissolution", "0.1.0")



Attach the package and use:
library("SimDissolution")
Maintained by
Kathrin Moellenhoff
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-27
Latest Update: 2019-09-27
Description:
Implementation of a model-based bootstrap approach for testing whether two formulations are similar. The package provides a function for fitting a pharmacokinetic model to time-concentration data and comparing the results for all five candidate models regarding the Residual Sum of Squares (RSS). The candidate set contains a First order, Hixson-Crowell, Higuchi, Weibull and a logistic model. The assessment of similarity implemented in this package is performed regarding the maximum deviation of the profiles. See Moellenhoff et al. (2018) <doi:10.1002/sim.7689> for details.
How to cite:
Kathrin Moellenhoff (2019). SimDissolution: Modeling and Assessing Similarity of Drug Dissolutions Profiles. R package version 0.1.0, https://cran.r-project.org/web/packages/SimDissolution. Accessed 07 Nov. 2024.
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Complete documentation for SimDissolution
Functions, R codes and Examples using the SimDissolution R package
Some associated functions: example_data . f2 . fit_pharm_mod . sim_test . 
Some associated R codes: example_data.R . f2.R . fit_pharm_mod.R . sim_test.R .  Full SimDissolution package functions and examples
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