funcharts 1.1.0
Major changes
simulate_mfd() simulates example data for funcharts. It creates a data set with three functional covariates, a functional response generated as a function of the three functional covariates through a function-on-function linear model, and a scalar response generated as a function of the three functional covariates through a scalar-on-function linear model. This function covers the simulation study in Centofanti et al. (2020) for the function-on-function case and also simulates data in a similar way for the scalar response case.
Minor changes
- Added a
NEWS.md file to track changes to the package.
inprod_mfd_diag() calculates the inner product between two multivariate functional data objects observation by observation, avoiding calculating it between all possible couples of observations. Therefore, there are \(n\) calculations instead of \(n^2\), saving much computational time when calculating the squared prediction error statistic when \(n\) is large.- Code has been improved so that
scale_mfd() is pre-computed and therefore is not called many times unnecessarily along the different functions.
funcharts 1.0.0