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bootGOF  

Bootstrap Based Goodness-of-Fit Tests
View on CRAN: Click here


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

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

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



Attach the package and use:
library("bootGOF")
Maintained by
Marsel Scheer
[Scholar Profile | Author Map]
First Published: 2021-06-24
Latest Update: 2021-06-24
Description:
Bootstrap based goodness-of-fit tests. It allows to perform rigorous statistical tests to check if a chosen model family is correct based on the marked empirical process. The implemented algorithms are described in (Dikta and Scheer (2021) ) and can be applied to generalized linear models without any further implementation effort. As far as certain linearity conditions are fulfilled the resampling scheme are also applicable beyond generalized linear models. This is reflected in the software architecture which allows to reuse the resampling scheme by implementing only certain interfaces for models that are not supported natively by the package.
How to cite:
Marsel Scheer (2021). bootGOF: Bootstrap Based Goodness-of-Fit Tests. R package version 0.1.0, https://cran.r-project.org/web/packages/bootGOF. Accessed 04 May. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for bootGOF
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