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, what = NULL,
control = list(...), ...)An object of class distrProfile as returned by
distribution_profile.
A numeric vector of the sessions to be selected and smoothed. Defaults to all sessions.
A character version of the variables to be selected and
smoothed. Defaults to all variables in object
(what = NULL).
A list of parameters for controlling the smoothing
process. This is passed to
smoother_control.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
smoother_control.distrProfile