VT.difft: Difference between twins

In aVirtualTwins: Adaptation of Virtual Twins Method from Jared Foster

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

aVirtualTwins documentation built on May 2, 2019, 4:04 p.m.