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slgf
View on CRAN: Click
here
Download and install slgf package within the R console
Install from CRAN:
install.packages("slgf")
Install from Github:
library("remotes")
install_github("cran/slgf")
Install by package version:
library("remotes")
install_version("slgf", "2.0.0")
Attach the package and use:
library("slgf")
Maintained by
Thomas Metzger
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-17
Latest Update: 2022-11-21
Description:
Implements the Bayesian model selection method with suspected latent grouping factor methodology of Metzger and Franck (2020), <doi:10.1080/00401706.2020.1739561>. SLGF detects latent heteroscedasticity or group-based regression effects based on the levels of a user-specified categorical predictor.
How to cite:
Thomas Metzger (2021). slgf: Bayesian Model Selection with Suspected Latent Grouping Factors. R package version 2.0.0, https://cran.r-project.org/web/packages/slgf. Accessed 01 Feb. 2025.
Previous versions and publish date:
0.1.0 (2021-02-17 19:50)
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Other R packages that slgf depends,
imports, suggests or enhances
Complete documentation for slgf
Functions, R codes and Examples using
the slgf R package
Some associated functions: bottles . lymphoma . maketall . ms_slgf . roadwear . smell . textile . torque .
Some associated R codes: bottles.R . column_centerer.R . grouping_info.R . level_parser.R . lymphoma.R . maketall.R . marginal_calculator_hom.R . model_builder.R . ms_slgf.R . prior_maker.R . roadwear.R . smell.R . textile.R . torque.R . Full slgf package functions and examples
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