Description Arguments Details See Also Examples
Results for simulations used in Korthauer and Kimes et al. (2019) across varying null proportion of hypotheses with 20000 tests, standard Gaussian distributed test statistics, and ‘sine’ informative and paired uninformative covariates stored as a list of SummarizedBenchmark objects from 100 replications. Simulations were performed with 5%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 95%, and 99% null tests.
In sims-varyingpi0-t
,
similar settings were considered, but t_{11} distributed test statistics.
metadata |
logical whether to load metadata (TRUE) or full resource (FALSE). (default = FALSE) |
The object is a list of length 100 corresponding to the 100 replications. Each
entry in the list is a named list of two SummarizedBenchmark objects. The results
based on using an informative and uninformative covariate are stored as
"informative"
and "uninformative"
, respectively.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | `varyingpi0-benchmark-nullprop05`(metadata = TRUE)
## Not run:
`varyingpi0-benchmark-nullprop05`()
`varyingpi0-benchmark-nullprop10`()
`varyingpi0-benchmark-nullprop20`()
`varyingpi0-benchmark-nullprop30`()
`varyingpi0-benchmark-nullprop40`()
`varyingpi0-benchmark-nullprop50`()
`varyingpi0-benchmark-nullprop60`()
`varyingpi0-benchmark-nullprop70`()
`varyingpi0-benchmark-nullprop80`()
`varyingpi0-benchmark-nullprop90`()
`varyingpi0-benchmark-nullprop95`()
`varyingpi0-benchmark-nullprop99`()
res <- `varyingpi0-benchmark-nullprop99`()
res[[1]]$informative
res[[1]]$uninformative
## End(Not run)
|
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