check.cft: Check that expected value of counterfactual decreases...

In INSP-RH/pif: Potential Impact Fraction and Population Attributable Fraction for Cross-Sectional Data

Description

Function that checks whether the counterfactual function of pif decreases the exposure values X.

Usage

check.cft(cft, X)

Arguments

cft	Function cft(X) for counterfactual. Leave empty for the Population Attributable Fraction paf where counterfactual is 0 exposure.
X	Random sample (data.frame) which includes exposure and covariates or sample mean.

Value

TRUE if counterfactual cft is well defined.

Author(s)

Rodrigo Zepeda-Tello [e-mail]

Dalia Camacho-García-Formentí [e-mail]

See Also

check.confidence, check.thetas, check.xvar, check.rr, check.exposure, check.integrals

Examples

#Example 1 
cft <- function(X){0.5*X}
X   <- runif(100, 0,2)
check.cft(cft, X)

INSP-RH/pif documentation built on May 7, 2019, 6:01 a.m.