Package index • posc

Creating a curve

Each constructor returns a "posc" object.

posc_uni(): POSC from a single correlation (bivariate normal)
posc_multi(): POSC for a composite of several predictors (bivariate normal)
posc_lm(): POSC for the fitted values of a linear model
posc_emp(): Empirical POSC from raw data

Working with a curve

print(<posc>) summary(<posc>): Print and summarise a POSC
predict(<posc>): Predicted probabilities from a POSC
as.data.frame(<posc>): Coerce a POSC to a data frame
autoplot(<posc>) plot(<posc>): Plot a probability of outcome superiority curve
posc_bins(): Binned observed proportions for an empirical POSC

Comparing curves

posc_comp(): Compare probability of outcome superiority curves
autoplot(<posc_comparison>) plot(<posc_comparison>): Plot a comparison of POSCs

Package

posc posc-package: posc: Probability of Outcome Superiority Curves
reexports autoplot: Objects exported from other packages