Fitting function for function-on-scalar regression for cross-sectional data.
This function estimates model parameters using GLS: first, an OLS estimate of
spline coefficients is estimated; second, the residual covariance is estimated
using an FPC decomposition of the OLS residual curves; finally, a GLS estimate
of spline coefficients is estimated. Although this is in the `BayesFoSR` package,
there is nothing Bayesian about this FoSR.
a formula indicating the structure of the proposed model.
data
an optional data frame, list or environment containing the
variables in the model. If not found in data, the variables are taken from
environment(formula), typically the environment from which the function is
called.
Kt
number of spline basis functions used to estimate coefficient functions
basis
basis type; options are "bs" for b-splines and "pbs" for periodic
b-splines
verbose
logical defaulting to TRUE -- should updates on progress be printed?
References
Goldsmith, J., Kitago, T. (Under Review).
Assessing Systematic Effects of Stroke on Motor Control using Hierarchical
Function-on-Scalar Regression.