msecalc {LMGene}R Documentation

MSE calculation function

Description

Computes the mean square error and gradient for the global anova

Usage

msecalc(eS, lam, alpha, lowessnorm)

Arguments

eS Array data. must be exprSet type.
lam A parameter for glog transformation
alpha A parameter for glog transformation
lowessnorm TRUE, if lowess method is going to be used

Details

The input argument, eS, must be exprSet type from Biobase package. If you have a matrix data and information about the considered factors, then you can use neweS to conver the data into exprSet. Please see neweS in more detail.

Value

msev A vector which contains MSE and gradient of two parameters

Author(s)

David Rocke and Geun-Cheol Lee

References

B. Durbin and D.M. Rocke, (2003) Estimation of Transformation Parameters for Microarray Data, Bioinformatics, 19, 1360-1367.

http://www.idav.ucdavis.edu/~dmrocke/

See Also

jggrad2, tranest2

Examples

#library
library(Biobase)
library(LMGene)

#data
data(Smpd0)

msecalc(Smpd0,500,50, FALSE)


[Package LMGene version 1.0.0 Index]