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bootGOF
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]
[Scholar Profile | Author Map]
All associated links for this package
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 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that bootGOF depends,
imports, suggests or enhances
Complete documentation for bootGOF
Functions, R codes and Examples using
the bootGOF R package
Some associated functions: GOF_glm_info_extractor . GOF_glm_sim_param . GOF_glm_trainer . GOF_lm_info_extractor . GOF_lm_sim_param . GOF_lm_trainer . GOF_model . GOF_model_info_extractor . GOF_model_resample . GOF_model_simulator . GOF_model_test . GOF_model_trainer . GOF_sim_wild_rademacher . Rn1_CvM . Rn1_KS . Rn1_statistic . rrademacher .
Some associated R codes: GOF_model.R . GOF_model_info_extractor.R . GOF_model_resample.R . GOF_model_simulator.R . GOF_model_test.R . GOF_model_trainer.R . Rn1_statistic.R . Full bootGOF package functions and examples
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