getstratweights: Calculate weights at a set value of effect measure modifier

In qgcompint: Quantile G-Computation Extensions for Effect Measure Modification

Calculate weights at a set value of effect measure modifier

Description

A standard qgcomp fit with effect measure modification only estimates weights at the referent (0) level of the modifier. This function can be used to estimate weights at arbitrary levels of the modifier

Usage

getstratweights(x, emmval = 1, ...)

Arguments

x	"qgcompemmfit" object from qgcomp.emm.noboot function
emmval	numerical: value of effect measure modifier at which weights are generated
...	unused

Value

An object of class "qgcompemmweights", which is just a special R list

This class contains the emmval-stratum specific weights of components of the mixture. By default, this prints a list of "weights", similar to objects of type "qgcompemmfit" which displays the stratum specific weights from a "qgcompemmfit" model (if it is run without bootstrapping).

See Also

qgcomp.emm.noboot

Examples

set.seed(1231)
dat <- data.frame(y=runif(50), x1=runif(50), x2=runif(50),
  z=rbinom(50,1,0.5), r=rbinom(50,1,0.5))
(qfit <- qgcomp.emm.noboot(f=y ~ z + x1 + x2, emmvar="z",
  expnms = c('x1', 'x2'), data=dat, q=2, family=gaussian()))
getstratweights(qfit, emmval = 0)
weights1 = getstratweights(qfit, emmval = 1)
weights1$pos.weights

qgcompint documentation built on March 22, 2022, 5:06 p.m.