VT.difft {aVirtualTwins} R Documentation

## Difference between twins

### Description

A reference class to represent difference between twin1 and twin2

### Details

Difft are calculated depending on the favorable outcome chosen. It is the second level of the outcome. For example, if the outcome is 0 and 1, the favorable outcome is 1. Then,

difft_i = twin1_i - twin2_i if T_i = 1

difft_i = twin2_i - twin1_i if T_i = 0

. So absolute method is :

P(Y = 1 | T = 1) - P(Y = 1 | T =0)

So relative method is :

P(Y = 1 | T = 1)/P(Y = 1 | T =0)

So absolute method is :

logit(P(Y = 1 | T = 1)) - logit(P(Y = 1 | T =0))

### Fields

`vt.object`

VT.object (refClass) representing data

`twin1`

vector of E(Y|T = real treatment)

`twin2`

vector of E(Y|T = another treatment)

`method`

Method available to compute difft : c("absolute", "relative", "logit"). Absolute is default value. See details.

`difft`

vector of difference between twin1 and twin2

### Methods

`computeDifft()`

Compute difference between twin1 and twin2. See details.

`VT.forest`, `VT.forest.one`, `VT.forest.double`