bdecomp: Expectation maximization algorithm to impute missing GxE...

In nsantantonio/Bilinear: Fits bilinear models for multi environment trial data

Description

This function will impute missing cells in the GxE table using an expectation maximization algorithm. Not intended for direct use by the user.

Usage

bdecomp(Y, model)

Arguments

Y	matrix containing numeric values of cell means with genotypes on rows and environments on columns
model	bilinear model to be fit. Arguments can be "AMMI", "GGE", "SREG", "EGE", "GREG". "GGE" and "SREG" are equivalent, as are "EGE" and "GREG".

Details

A: Matrix of additive effects (mu + G + E) Emat: Matrix of residuals from the additive mode Edecomp: singlualr value decomposition of Emat Lambda: singular values from nu: degrees of freedom

Value

Returns the bilinear decomposition of the GE matrix

Examples

data(soyMeanMat)
bdecomp(soyMeanMat, "AMMI")

nsantantonio/Bilinear documentation built on Aug. 18, 2020, 2:31 p.m.