modSE: Calculates the average model standard error

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

Calculates the average model standard error

Description

Calculates the average model standard error and the Monte Carlo standard error of this estimate.

Usage

modSE(se, get = c("modSE", "modSE_mcse"), na.rm = FALSE, ...)

Arguments

se	A numeric vector containing the standard errors from the model(s).
get	A character vector containing the values returned by the function.
na.rm	A logical value indicating whether NA values for se should be removed before modSE calculation.
...	Additional arguments to be ignored.

Value

A named vector containing the estimate and the Monte Carlo standard error for the average model standard error.

Examples

modSE(se=runif(n=20, min=1, max=1.5))

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