summary.sesJIVE: Summarizing sesJIVE Model Fits

In enorthrop/sup.r.jive: Supervised JIVE Methods: JIVE Predict, sJIVE, and sesJIVE

Summarizing sesJIVE Model Fits

Description

Summary methods for an sesJIVE model of class "sesJIVE".

Usage

## S3 method for class 'sesJIVE'
summary(object, ...)

## S3 method for class 'sesJIVE'
print(x, ...)

Arguments

object	An object of class "sesJIVE", usually a fitted sesJIVE model.
...	further arguments passed to or from other methods.
x	a fitted sesJIVE model.

Details

Both the print and the summary functions give summary results for a fitted sesJIVE model.

For the summary function, amount of variance explained is expressed in terms of the standardized Frobenious norm. Partial R-squared values are calculated for the joint and individual components. If rank=1, a z-statistic is calculated to determine the p-value. If rank>1, an F-statistic is calculated.

For the print function, the coeffecients are simply printouts of theta1 and theta2 from the sesJIVE model.

Value

Summary measures

Functions

• print(sesJIVE):

enorthrop/sup.r.jive documentation built on Nov. 18, 2022, 6:01 p.m.