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FDboost (version 1.1-2)

funMSE: Functional MSE

Description

Calculates the functional MSE for a fitted FDboost-object

Usage

funMSE(
  object,
  overTime = TRUE,
  breaks = object$yind,
  global = FALSE,
  relative = FALSE,
  root = FALSE,
  ...
)

Value

Returns a vector with the calculated MSE and some extra information in attributes.

Arguments

object

fitted FDboost-object

overTime

per default the functional R-squared is calculated over time if overTime=FALSE, the R-squared is calculated per curve

breaks

an optional vector or number giving the time-points at which the model is evaluated. Can be specified as number of equidistant time-points or as vector of time-points. Defaults to the index of the response in the model.

global

logical. defaults to FALSE, if TRUE the global R-squared like in a normal linear model is calculated

relative

logical. defaults to FALSE. If TRUE the MSE is standardized by the global variance of the response
\( n^{-1} \int \sum_i (Y_i(t) - \bar{Y})^2 dt \approx G^{-1} n^{-1} \sum_g \sum_i (Y_i(t_g) - \bar{Y})^2 \)

root

take the square root of the MSE

...

currently not used

Details

Formula to calculate MSE over time, overTime=TRUE:
\( MSE(t) = n^{-1} \sum_i (Y_i(t) - \hat{Y}_i(t))^2 \)

Formula to calculate MSE over subjects, overTime=FALSE:
\( MSE_i = \int (Y_i(t) - \hat{Y}_i(t))^2 dt \approx G^{-1} \sum_g (Y_i(t_g) - \hat{Y}_i(t_g))^2\)