Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

RMSE.L

Lower boundary root-mean-square error


Description

Compute the lower boundary root-mean-square error.

Usage

RMSE.L(ref, pred)

Arguments

ref

Variable that was predicted.

pred

The prediction given by the model.

Value

The lower boundary root-mean-square error.

Author(s)

Oldemar Rodriguez Rojas.

References

LIMA-NETO, E.A., DE CARVALHO, F.A.T., (2008). Centre and range method to fitting a linear regression model on symbolic interval data. Computational Statistics and Data Analysis 52, 1500-1515.

LIMA-NETO, E.A., DE CARVALHO, F.A.T., (2010). Constrained linear regression models for symbolic interval-valued variables. Computational Statistics and Data Analysis 54, 333-347.

See Also

sym.glm


RSDA

R to Symbolic Data Analysis

v3.0.12
GPL (>= 2)
Authors
Oldemar Rodriguez [aut, cre], Jose Emmanuel Chacon [cph], Carlos Aguero [cph], Jorge Arce [cph]
Initial release
2022-07-04

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.