R package hyper.gam

2026-02-05

The complete vignette of R (R Core Team 2025) package hyper.gam (v0.2.2)

https://tingtingzhan.quarto.pub/groupedhyperframe/bioinformatics_btaf430.html

documents the derivation of single index predictors of scalar outcomes based on spatial and non-spatial single-cell imaging data.

The complete vignette exceeds the file size limit allowed on CRAN.

1 Prerequisite

1.1 Environment

Package hyper.gam (v0.2.2) requires R version 4.5.0 (released 2025-04-11) or higher. Details are provided in the book chapter.

1.2 Installation

Packages hyper.gam (v0.2.2) can be installed using the following command in R.

utils::install.packages('hyper.gam')

1.3 Enhancement

Package hyper.gam (v0.2.2) Enhances package mgcv (Wood 2017, v1.9.4). Details are provided in the book chapter.

1.4 Dependency

The dependencies of package hyper.gam are detailed in the book chapter.

Package hyper.gam 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 book chapter.

2 Acknowledgement

The author thanks

3 References

Baddeley, Adrian, Ege Rubak, and Rolf Turner. 2015. Spatial Point Patterns: Methodology and Applications with R. London: Chapman; Hall/CRC Press. https://www.routledge.com/Spatial-Point-Patterns-Methodology-and-Applications-with-R/Baddeley-Rubak-Turner/p/book/9781482210200/.
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.
R Core Team. 2025. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Wood, S. N. 2017. Generalized Additive Models: An Introduction with R. 2nd ed. Chapman; Hall/CRC.