refund (version 0.1-4)

refund-package: Regression with Functional Data

Description

Functions for regression with functional data. The methods currently implemented can be divided into (I) regression of scalar responses on functional predictors, and (II) regression of functional responses on scalar predictors. (I) includes penalized functional regression (Goldsmith et al., 2011) and its longitudinal extension (Goldsmith et al., 2010), as well as functional principal component regression (Reiss and Ogden, 2007). (II) includes the penalized OLS and penalized GLS methods of Reiss et al. (2010).

Details

For a complete list of functions type library(help=refund).

References

Goldsmith, J., Bobb, J., Crainiceanu, C., Caffo, B., and Reich, D. (2011). Penalized functional regression. Journal of Computational and Graphical Statistics, to appear.

Goldsmith, J., Crainiceanu, C., Caffo, B., and Reich, D. (2010). Longitudinal penalized functional regression. Available at http://www.bepress.com/jhubiostat/paper216

Reiss, P. T., Huang, L., and Mennes, M. (2010). Fast function-on-scalar regression with penalized basis expansions. International Journal of Biostatistics, 6(1), article 28. Available at http://works.bepress.com/phil_reiss/16/

Reiss, P. T., and Ogden, R. T. (2007). Functional principal component regression and functional partial least squares. Journal of the American Statistical Association, 102, 984--996.