LRegress_group: Joins aggregates from 'N' nodes to compute a linear...
In LREN-CHUV/hbplregress: Linear regression

Description Usage Arguments Value

View source: R/LRegress_group.R

Joins aggregates from 'N' nodes to compute a linear regression. We have to compute beta from the linear equation: y = A*beta + error, but data y is distributed over local nodes.

1	LRegress_group(betas, Sigmas, Ndegree)

`betas`	regression coefficients computed in different 'N' nodes (list data type).
`Sigmas`	Covariance matrices of the regression coefficients in different 'N' nodes (list data type).
`Ndegree`	Number of degree of freedom.

betaf : Regression coefficient joining properly betas and Sigmas from 'N' nodes. This will be the result the user will receive. The intermediate betas are not shown. Sigmaf : Covariance matrix of joining properly the partial covariance matrices coming from different nodes. t : T-students pvals : p-values, significance of the regression coefficients.

LREN-CHUV/hbplregress documentation built on May 7, 2019, 12:35 p.m.