model_error_single: Error Prediction Single Variable

In nelson16silva/wavcoreinf: Estimation and Evaluation of Wavelet Core Inflation Measures

Error Prediction Single Variable

Description

Calculates the root mean square error or mean absolute error of univariate models estimated by the function model_fcast or model_est_single.

Usage

model_error_single(k, y, lags, h, RMSE = TRUE)

Arguments

k	An integer to determine the number of observations to include in the out-of-sample set.
y	A numeric vector or time series of the dependet variable; tipplically the headline inflation.
lags	A data frame generated by the function lags.
h	An integer to set the desired horizon.
RMSE	Logical: if TRUE returns RMSE, if FALSE returns MAE.

Value

An integer contaning the calculated error.

See Also

model_est_single, model_best, model_fcast.

Examples

inf_head <- coreinf_br[["ipca"]]
pq <- lags(2, 1)
purrr::map_dbl(1:12, ~ model_error_single(24, inf_head, unique(pq[, 1:2]), .x, RMSE = FALSE))

nelson16silva/wavcoreinf documentation built on Feb. 17, 2025, 7:10 p.m.