Extract the H-decomposition of the GPC estimator.
getIid(
object,
endpoint = NULL,
statistic = NULL,
stratified = FALSE,
cumulative = TRUE,
center = TRUE,
scale = TRUE,
type = "all",
cluster = NULL
)# S4 method for S4BuyseTest
getIid(
object,
endpoint = NULL,
statistic = NULL,
stratified = FALSE,
cumulative = TRUE,
center = TRUE,
scale = TRUE,
type = "all",
cluster = NULL
)
an R object of class S4BuyseTest
, i.e., output of BuyseTest
[character] for which endpoint(s) the H-decomposition should be output?
If NULL
returns the sum of the H-decomposition over all endpoints.
[character] statistic relative to which the H-decomposition should be output.
[logical] should the H-decomposition relative to the strata-specific statistics be output? Otherwise display the influence function of the global statistic (i.e. over all strata).
[logical] should the H-decomposition be cumulated over endpoints? Otherwise display the contribution of each endpoint.
[logical] if TRUE
the H-decomposition is centered around 0 (estimated statistic is substracted).
[logical] if TRUE
the H-decomposition is rescaled (by the sample size in the corresponding arm) such that its sums of squares approximate the variance of the estimator.
[character] type of H-decomposition to be output.
Can be only for the nuisance parameters ("nuisance"
),
or for the u-statistic given the nuisance parameters ("u-statistic"
),
or both.
[numeric vector] return the H-decomposition aggregated by cluster.
Brice Ozenne
WARNING: argument scale
and center
should be used with care as when set to FALSE
they may not lead to a meaningful decomposition.
BuyseTest
for performing a generalized pairwise comparison.
S4BuyseTest-summary
for a more detailed presentation of the S4BuyseTest
object.