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Type: Package
Title: Predictive Information Index ('PII')
Version: 0.3.0
Maintainer: Kevin E. Wells <kevin.e.wells@usm.edu>
Description: A simple implementation of the Predictive Information Index ('PII').
Encoding: UTF-8
License: MIT + file LICENSE
Imports: stats (≥ 3.6.0)
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-07-01 23:27:54 UTC; w10105397
Author: Kevin E. Wells [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-01 23:40:02 UTC

Predictive Information Index (PII)

Description

Computes the Predictive Information Index using one of three methods: "r2" (R-squared ratio), "rm" (RMSE-based), or "v" (variance ratio).

Usage

pii(y, score_pred, full_pred = NULL, type = c("r2", "rm", "v"))

Arguments

y

Observed outcome vector.

score_pred

Predictions from score-based model.

full_pred

Predictions from the full model.

type

Character. One of "r2", "rm", or "v".

Value

A numeric value between 0 and 1.

Examples

set.seed(1)
y     <- rnorm(100)
full  <- y + rnorm(100, sd = 0.3)
score <- y + rnorm(100, sd = 0.5)
pii(y, score, full, type = "r2")
pii(y, score, full, type = "rm")
pii(y, score, full, type = "v")

Plot Score vs Outcome for Visual PII Insight

Description

Plot Score vs Outcome for Visual PII Insight

Usage

pii_plot(score, outcome, bins = 10)

Arguments

score

Numeric score vector

outcome

Numeric outcome vector

bins

Number of bins for discretization

Value

A base R plot

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.
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