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piiR

R-CMD-check

Predictive Information Index (PII): Quantifying predictive utility of scores

The piiR package provides tools for computing the Predictive Information Index (PII), which evaluates how much outcome-relevant information is retained in various types of scores (e.g., sum scores, CFA scores, subscale scores) in predictive models.

📦 Installation

```r # Install from GitHub remotes::install_github(“TheotherDrWells/piiR”)

Or from CRAN (once accepted)

install.packages(“piiR”)

🚀 Example

library(piiR)

set.seed(123) full <- rnorm(100) score <- full + rnorm(100, sd = 0.5)

Compute RMSE-based PII

pii(full, score, type = “rm”)

Try R²-based PII

pii(full, score, type = “r2”)

📘 Learn More Vignette: vignette(“piiR_intro”)

Docs: CRAN page (once available)

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.
Health stats visible at Monitor.