mean_squared_error: Estimates the mean squared prediction error.

In autoMrP: Improving MrP with Ensemble Learning

Estimates the mean squared prediction error.

Description

mean_squared_error() estimates the mean squared error for the desired loss unit.

Usage

mean_squared_error(pred, data.valid, y, L2.unit)

Arguments

pred	Predictions of outcome. A numeric vector of outcome predictions.
data.valid	Test data set. A tibble of data that was not used for prediction.
y	Outcome variable. A character vector containing the column names of the outcome variable.
L2.unit	Geographic unit. A character scalar containing the column name of the geographic unit in survey and census at which outcomes should be aggregated.

Value

Returns a tibble containing two mean squared prediction errors. The first is measured at the level of individuals and the second is measured at the context level. The tibble dimensions are 2x3 with variables: measure, value and level.

autoMrP documentation built on May 29, 2024, 6:40 a.m.