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.

### See Also

`VT.forest`

, `VT.forest.one`

,
`VT.forest.double`

[Package

*aVirtualTwins* version 1.0.1

Index]