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mermboost  

Gradient Boosting for Generalized Additive Mixed Models
View on CRAN: Click here


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

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

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



Attach the package and use:
library("mermboost")
Maintained by
Lars Knieper
[Scholar Profile | Author Map]
First Published: 2025-02-24
Latest Update: 2025-02-24
Description:
Provides a novel framework to estimate mixed models via gradient boosting. The implemented functions are based on 'mboost' and 'lme4'. Hence, the family range is predetermined by 'lme4'. A correction mechanism for cluster-constant covariates is implemented as well as an estimation of random effects' covariance.
How to cite:
Lars Knieper (2025). mermboost: Gradient Boosting for Generalized Additive Mixed Models. R package version 0.1.0, https://cran.r-project.org/web/packages/mermboost. Accessed 13 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited mermboost R package
View mermboost citation profile
Other R packages that mermboost depends, imports, suggests or enhances
Complete documentation for mermboost
Functions, R codes and Examples using the mermboost R package
Full mermboost package functions and examples
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