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TestingSimilarity  

Bootstrap Test for the Similarity of Dose Response Curves Concerning the Maximum Absolute Deviation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("TestingSimilarity", "1.1")



Attach the package and use:
library("TestingSimilarity")
Maintained by
Kathrin Moellenhoff
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-16
Latest Update: 2019-09-11
Description:
Provides a bootstrap test which decides whether two dose response curves can be assumed as equal concerning their maximum absolute deviation. A plenty of choices for the model types are available, which can be found in the 'DoseFinding' package, which is used for the fitting of the models. See <doi:10.1080/01621459.2017.1281813> for details.
How to cite:
Kathrin Moellenhoff (2015). TestingSimilarity: Bootstrap Test for the Similarity of Dose Response Curves Concerning the Maximum Absolute Deviation. R package version 1.1, https://cran.r-project.org/web/packages/TestingSimilarity
Previous versions and publish date:
1.0 (2015-09-16 12:47)
Other packages that cited TestingSimilarity R package
View TestingSimilarity citation profile
Other R packages that TestingSimilarity depends, imports, suggests or enhances
Functions, R codes and Examples using the TestingSimilarity R package
Some associated functions: betaMod . bootstrap_test . dff . emax . exponential . linear . linlog . logistic . quadratic . sigEmax . 
Some associated R codes: DoseResponseModels.R . bootstrap_test.R . dff.R .  Full TestingSimilarity package functions and examples
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