ordPanel package from CRAN
utils::install.packages('ordPanel')Ordered Panel
Preface
The ordered panel(s) and their operating characteristics should be described in a peer-reviewed manuscript as Tip 1.
Tip 1: Ordered Panel Methodology
The ordered panel methodology, implemented in the ordPanel package (Zhan (2026), v0.1.0.20260306) for R version 4.5.2 (2025-10-31) (R Core Team 2025), provides a structured framework for identifying and organizing sets of biomarkers — such as genetic variants — that distinguish between positive and negative subjects in a study when only a small training cohort is available. This approach is particularly useful in situations where an independent validation cohort does not yet exist, rendering conventional performance metrics such as the receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) inappropriate or potentially misleading. The methodology emphasizes transparent construction and evaluation of ordered signatures of biomarkers, allowing investigators to examine operating characteristics without establishing predictive performance.
Each step of the procedure is described in detail in Tip 1.1, Tip 2.1 and Tip 3.1.
Installation
Listing 1 installs the ordPanel package from CRAN,
Listing 2 installs the ordPanel package from GitHub using the pak package (Csárdi and Hester 2025, v0.9.2),
ordPanel package from GitHub
utils::install.packages('pak')
pak::pak('tingtingzhan/ordPanel')About This Book
Mirrors of this Quarto book can be accessed at the following URLs. These free hosting services may experience occasional downtime.
ImportantMirrors of this book
The Chapters
explain how to use the ordPanel package to a general audience. Rest of this book explain why and how the ordPanel package works for readers with advanced expertise in the R programming language.