Synthesized functional signals with heterogeneous error. The underlying three coefficients correspond to 'dense', 'global sparse', and 'local sparse' functions. See https://arxiv.org/abs/2006.10163 for detailed configurations.

spfda_simulate(n = 1000, n_timepoints = 100, err = 1)

n | Total number of observations |
---|---|

n_timepoints | Total number of time points |

err | Error magnitude |

A list of data generated: `X`

is scalar predictor, `Y`

is
functional response.