This class is designed to represent the model object containing the estimate parameters, arguments and finals fits of the model on a basepair level.

`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.

`vcov`

A list of covariance matrices for each tile fit.

`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.

Georg Stricker georg.stricker@in.tum.de

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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