uvam: univariate value added

In whpskg/MVAM_: Multi-dimensional value added model

Description

univariate value added

Usage

uvam(x, y, col_category, comp_effect = NULL, ...)

Arguments

x	dependent variables
y	indenpent variables
col_category	this is a vector where each value corresponding each observation's id
...	for future implementation
comp_effcet	default null. a vector contains variables names which you want to create composition effects

Value

function returns univariate value added outcome for each specific category

Examples

mvam(x, y, col_category)
mvam(x, y, col_category, c('X1','X2',..,'Xm'))

whpskg/MVAM_ documentation built on Jan. 29, 2020, 9:17 p.m.