relativePrecision: Calculates the relative (%) increase in precision between two...

In simMetric: Metrics (with Uncertainty) for Simulation Studies that Evaluate Statistical Methods

Calculates the relative (%) increase in precision between two methods

Description

Calculates the relative (%) increase in precision between two competing methods (B vs A). As this metric compares two methods directly, it cannot be used in join_metrics().

Usage

relativePrecision(
  estimates_A,
  estimates_B,
  get = c("relativePrecision", "relativePrecision_mcse"),
  na.rm = FALSE
)

Arguments

estimates_A	A numeric vector containing the estimates from model A.
estimates_B	A numeric vector containing the estimates from model B.
get	A character vector containing the values returned by the function.
na.rm	A logical value indicating whether NA values for estimates should be removed before empSE calculation.

Value

A named vector containing the estimate and the Monte Carlo standard error for the relative (%) increase in precision of method B versus method A.

Examples

relativePrecision(estimates_A=rnorm(n=1000), estimates_B=rnorm(n=1000))

simMetric documentation built on Nov. 1, 2022, 1:06 a.m.