The distribution profiles are smoothed using a shape constrained additive model with Poisson responses to ensure that the smoothed distribution profile is positive and monotone decreasing.
# S3 method for distrProfile
smoother(object, session = NULL, control = list(...),
...)An object of class distrProfile as returned by distributionProfile.
A numeric vector of the sessions to be selected and smoothed. Defaults to all sessions.
A list of parameters for controlling the smoothing process.
This is passed to smootherControl.distrProfile.
Arguments to be used to form the default control argument if it is not supplied directly.
Kosmidis, I., and Passfield, L. (2015). Linking the Performance of Endurance Runners to Training and Physiological Effects via Multi-Resolution Elastic Net. ArXiv e-print arXiv:1506.01388.
Pya, N. and Wood S. (2015). Shape Constrained Additive Models. Statistics and Computing, 25(3), 543--559. Frick, H., Kosmidis, I. (2017). trackeR: Infrastructure for Running and Cycling Data from GPS-Enabled Tracking Devices in R. Journal of Statistical Software, 82(7), 1--29. doi:10.18637/jss.v082.i07