qgcomp (version 2.0.0)

msm.predict: msm.predict: secondary prediction method for the MSM within a qgcompfit object (non-survival outcomes only).

Description

Makes predictions from the MSM (rather than the g-computation model) from a "qgcompfit" object. Generally, this should not be used in favor of the default predict.qgcompfit function. This function can only be used following the `qgcomp.boot` function. For the `qgcomp.noboot` function, predict.qgcompfit gives identical inference to predicting from an MSM.

get predicted values from a qgcompfit object from qgcomp.boot

Usage

msm.predict(object, newdata = NULL)

Arguments

object

"qgcompfit" object from `qgcomp.boot` function

newdata

(optional) new set of data (data frame) with a variable called `psi` representing the joint exposure level of all exposures under consideration

Examples

# NOT RUN {
set.seed(50)
dat <- data.frame(y=runif(50), x1=runif(50), x2=runif(50), z=runif(50))
obj <- qgcomp.boot(y ~ z + x1 + x2 + I(z*x1), expnms = c('x1', 'x2'), data=dat, q=4, B=10, seed=125)
dat2 <- data.frame(psi=seq(1,4, by=0.1))
summary(msm.predict(obj))
summary(msm.predict(obj, newdata=dat2))
# }