View source: R/base_generics.R
print.qgcompfit | R Documentation |
Gives variable output depending on whether qgcomp.glm.noboot
or qgcomp.glm.boot
is called. For qgcomp.glm.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 qgcomp.glm.boot
,
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.
## S3 method for class 'qgcompfit'
print(x, showweights = TRUE, ...)
x |
"qgcompfit" object from |
showweights |
logical: should weights be printed, if estimated? |
... |
unused |
qgcomp.glm.noboot
, qgcomp.glm.boot
, and qgcomp
set.seed(50)
dat <- data.frame(y=runif(50), x1=runif(50), x2=runif(50), z=runif(50))
obj1 <- qgcomp.glm.noboot(y ~ z + x1 + x2, expnms = c('x1', 'x2'), data=dat, q=2)
obj2 <- qgcomp.glm.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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