Package 'piiR'

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")

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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

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