refund (version 0.1-9)

pffrSim: Simulate example data for pffr

Description

Simulates example data for pffr. Scenario 1 generates data from a simple univariate model $Y_i(t) = \mu(t) +\int X_i(s)\beta(s,t)ds + \epsilon_i(t)$. Scenario 2 generates data from a complex multivariate model $Y_i(t) = \mu(t) + \int X_{1i}(s)\beta_1(s,t)ds + \int X_{2i}(s)\beta_2(s,t)ds + x_3 \beta_3(t) + f(x_4, x_5) + f(x_6, t) + \beta_4 x_7 + \epsilon_i(t)$.

Usage

pffrSim(scenario = 1, n = 100, nxgrid = 40, nygrid = 60,
    SNR = 10)

Arguments

scenario

see description

n

number of observations

nxgrid

number of evaluation points of functional covariates

nygrid

number of evaluation points of the functional response

SNR

the signal-to-noise ratio for the generated data: empirical variance of the additive predictor divided by variance of the errors.

Value

• a named list with the simulated data, and the true components of the predictor etc as attributes.

Details

See source code for details.