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Additional Predictor with Maximum Effect Size
Tingting Zhan
2025-10-13
1 Introduction
The complete vignette of R package maxEff (v0.2.0)
documents the selection of one from many numeric predictors for a regression model, to ensure that the additional predictor has the maximum effect size.
The complete vignette exceeds the file size limit allowed on CRAN.
2 Prerequisite
2.1 Environment
Package maxEff (v0.2.0) requires R version 4.5.0 (released 2025-04-11) or higher (macOS, Windows, Linux).
An Integrated Development Environment (IDE), e.g., RStudio(Posit team 2025) or Positron, is not required, but highly recommended.
Environment on author’s computer
Sys.info()[c('sysname', 'release', 'machine')]# sysname release machine # "Darwin" "25.1.0" "arm64"R.version# _ # platform aarch64-apple-darwin20 # arch aarch64 # os darwin20 # system aarch64, darwin20 # status # major 4 # minor 5.1 # year 2025 # month 06 # day 13 # svn rev 88306 # language R # version.string R version 4.5.1 (2025-06-13)# nickname Great Square Root
2.2 Dependency
The dependencies of package maxEff are detailed in the complete vignette.
Package maxEff requires the development versions of the spatstat.* family of packages (Baddeley, Rubak, and Turner 2015; Baddeley and Turner 2005). Installation instructions are provided in the complete vignette of package groupedHyperframe(Zhan and Chervoneva 2025, v0.3.0), Section 4.1.
2.3 Installation
Packages maxEff (v0.2.0) and groupedHyperframe (v0.3.0) can be installed using the following command.
Baddeley, Adrian, and Rolf Turner. 2005. “spatstat: An R Package for Analyzing Spatial Point Patterns.”Journal of Statistical Software 12 (6): 1–42. https://doi.org/10.18637/jss.v012.i06.
Posit team. 2025. RStudio: Integrated Development Environment for r. Boston, MA: Posit Software, PBC. https://posit.co/.
These binaries (installable software) and packages are in development. They may not be fully stable and should be used with caution. We make no claims about them.