ARMAmat: Autocorrelation Moving average.

In sommer: Solving Mixed Model Equations in R

Autocorrelation Moving average.

Description

Creates an ARMA matrix of order one with parameters specified.

Usage

ARMA(x, rho=0.25, lambda=0.25)

Arguments

x	vector of the variable to define the factor levels for the ARMA covariance structure.
rho	rho value for the matrix.
lambda	dimensions of the square matrix.

Details

Specially useful for constructing covariance structures for rows and ranges to capture better the spatial variation trends in the field. The rho value is assumed fixed and values of the variance component will be optimized through REML.

Value

If everything is defined correctly the function returns:

$nn

the correlation matrix

References

Covarrubias-Pazaran G (2016) Genome assisted prediction of quantitative traits using the R package sommer. PLoS ONE 11(6): doi:10.1371/journal.pone.0156744

See Also

The core function of the package mmer

Examples

x <- 1:4
R1 <- ARMA(x,rho=.25,lambda=0.2)
image(R1)

sommer documentation built on Sept. 11, 2024, 6:22 p.m.