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easy.glmnet
View on CRAN: Click
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Download and install easy.glmnet package within the R console
Install from CRAN:
install.packages("easy.glmnet")
Install from Github:
library("remotes")
install_github("cran/easy.glmnet")
Install by package version:
library("remotes")
install_version("easy.glmnet", "1.0")
Attach the package and use:
library("easy.glmnet")
Maintained by
Joaquim Radua
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[Scholar Profile | Author Map]
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First Published: 2024-09-11
Latest Update: 2024-09-11
Description:
Provides several functions to simplify using the 'glmnet' package: converting data frames into matrices ready for 'glmnet'; b) imputing missing variables multiple times; c) fitting and applying prediction models straightforwardly; d) assigning observations to folds in a balanced way; e) cross-validate the models; f) selecting the most representative model across imputations and folds; and g) getting the relevance of the model regressors; as described in several publications: Solanes et al. (2022) <doi:10.1038/s41537-022-00309-w>, Palau et al. (2023) <doi:10.1016/j.rpsm.2023.01.001>, Sobregrau et al. (2024) <doi:10.1016/j.jpsychores.2024.111656>.
How to cite:
Joaquim Radua (2024). easy.glmnet: Functions to Simplify the Use of 'glmnet' for Machine Learning. R package version 1.0, https://cran.r-project.org/web/packages/easy.glmnet. Accessed 28 Sep. 2024.
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