if_gamma: Estimation of influence function for E(E(Y|A=a, X))

In matteobonvini/sensitivitypuc: Sensitivity Analysis via the Proportion of Unmeasured Confounding (PUC)

Description

if_gamma computes the influence function values for the parameter E(E(Y|A=a, X))) evaluated at each X.

Usage

if_gamma(y, a, aval, pia, mua)

Arguments

y	nx1 vector of outcomes in [0, 1]
a	nx1 vector of treatments
aval	scalar, if aval=a then it returns the if vals for E(E(Y|A=a, X)))
pia	nx1 vector with estimates for P(A=aval | X) evaluated at each X.
mua	nx1 vector with estimates for E(Y|A=aval, X) evaluated at each X.

Value

a length(y)x1 matrix containing the influence function values at each observed X of the parameter E(E(Y|A=a, X)).

See Also

get_ifvals, if_tau.

matteobonvini/sensitivitypuc documentation built on Dec. 9, 2020, 2:24 a.m.