mean_squared_error: Estimates the mean squared prediction error.

Description Usage Arguments Value

View source: R/utils.R

Description

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

Usage

1
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 Jan. 21, 2021, 5:07 p.m.