AffineModelFit: Model fit of affine microarray models

Description Usage Arguments Value Author(s) See Also

Description

Model fit of affine microarray models.

Usage

1
AffineModelFit(a, b, adiag, fitted=NULL, weights=NULL, residuals=NULL, eigen=NULL, y=NULL, converged=NULL, nbrOfIterations=NULL, t0=NULL, t=NULL, ...)

Arguments

a,b,adiag

Parameters.

residuals

.

eigen

.

converged

If TRUE, it indicates that the estimate converged. Otherwise, it did not.

nbrOfIterations

Number of iterations until convergence or stop.

t,t0

.

fitted

a vector of fitted values.

weights

(only for weighted fits) a vector the weights used for the fit. If a iterative re-weighted method is used, these are the weights used in the last iteration.

y

if requested, the response matrix used.

...

Other named arguments stored.

Value

Returns a list containing the fitted model.

Author(s)

Henrik Bengtsson (http://www.braju.com/R/)

See Also

RGData.calibrateMultiscan RGData.normalizeAffine For more information see AffineModelFit.


HenrikBengtsson/aroma documentation built on May 7, 2019, 12:56 a.m.