Gives variable output depending on whether
is called. For
qgcomp.noboot will output final estimate of joint exposure
effect (similar to the 'index' effect in weighted quantile sums), as well
as estimates of the 'weights' (standardized coefficients). For
the marginal effect is given, but no weights are reported since this approach
generally incorporates non-linear models with interaction terms among exposures,
which preclude weights with any useful interpretation.
"qgcompfit" object from
logical: should weights be printed, if estimated?
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set.seed(50) dat <- data.frame(y=runif(50), x1=runif(50), x2=runif(50), z=runif(50)) obj1 <- qgcomp.noboot(y ~ z + x1 + x2, expnms = c('x1', 'x2'), data=dat, q=2) obj2 <- qgcomp.boot(y ~ z + x1 + x2, expnms = c('x1', 'x2'), data=dat, q=2, B=10, seed=125) # does not need to be explicitly called, but included here for clarity print(obj1) print(obj2)
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