Beta.NA: Fit the L/S model in the presence of missing data values

In survJamda: Survival Prediction by Joint Analysis of Microarray Gene Expression Data

Description

Fit the L/S model in the presence of missing data values

Usage

Beta.NA(y, X)

Arguments

y	Product of design matrix and matrix of gene expression data.
X	Matrix of gene expression data.

Value

Vector of Regression coefficients in L/S model fitting.

Warning

This function is not called by the user directly.

Author(s)

WE Johnson

References

W. Johnson E., L. Chen, Rabinovic, and A. Adjusting batch effects in microarray expression data using Empirical Bayes methods. Biostatistics, 8(1):118-127, January2007. ISSN 1465-4644. doi: http://dx.doi.org/10.1093/biostatistics/kxj037.

See Also

ComBat

survJamda documentation built on May 1, 2019, 8:50 p.m.