GenoGAM-class: GenoGAM class
Description
This class is designed to represent the model object containing the estimate parameters,
arguments and finals fits of the model on a basepair level.
Slots
design- A mgcv-type formula object.
fits- A data.frame of the fits, the standard error and the first and
second derivative of the fits for each experiment.
positions- A GPos object of the positions and seqnames corresponding
to the rows in the 'fits' slot.
smooths- A data.frame of knot positions and base function coefficients,
in order to reproduce the splines and compute derivatives.
experimentDesign- The design matrix according to which the fitting
was performed.
fitparams- Global parameters 'lambda', 'theta', 'Coefficient of Variation' and
the 'penalty order' used to compute the model.
family- The distribution family.
cvparams- Parameters used for cross validation.
settings- The global and local settings that were used to compute the model.
tileSettings- A list of settings used to compute tiles.