… In this paper, we present an R package Rdimtools (version 1.0.9) that implements 143 DR
and 17 … We believe a comprehensive toolbox like Rdimtools helps users to grasp the nature of …

Our package supports three ways of defining nearest neighborhood. First is knn, which finds
k nearest points and flag them as neighbors. Second is enn-epsilon nearest neighbor-that …

… The package includes functionalities for binary classification and regression problems. RENT
is based on an ensemble of elastic net regularized models, which are trained on randomly, …

The most common preprocessing techniques used to deal with datasets having high
dimensionality and a low number of instances—or wide data—are feature reduction (FR), feature …

… A number of those extensions can be found in the R package Rdimtools (Suh & You, …
The one-factor approach that is the default in the psych package suggested 8 factors. The …

… Among the various options, the package Rdimtools [You, 2020b] stands out, implementing
150 different algorithms, 17 of which are exclusively dedicated to ID estimation [You, 2020a]. …

… F < ε , with ε a small preset parameter equal to 0.001 in the Rdimtools package when it is
not specified by the user, as in our case motivated by our use of scaled features. …

… ” we will adopt this averaging approach, as implemented in the R package Rdimtools 37 . …
, we rely on the implementation contained in the R package Rdimtools 37 . As in the previous …

… To obtain the correct number of dimensions, we initially used some techniques from the “RdimTools”
package in R. We used the methods from the “dimRed” package in R developed by …

… Our subsequent data analysis was based on Rdimtools (You, 2022), an R (R Core Team,
2020) package implementing a large number of dimensionality reduction and subspace …