Description Arguments Details See Also Examples
Results for simulations used in Korthauer and Kimes et al. (2019) across varying covariate informativeness, using standard Gaussian distributed test statistics, and informative and paired uninformative covariates stored as a list of SummarizedBenchmark objects from 100 replications. An informative covariate with tunable informativeness was defined with a rough informativeness parameter, delta, defined between 0 and 100. Simulations were performed with delta values of 0, 20, 40, 60, 80, and 100. The conditional probability of a test being null was defined by a discrete, non-smooth, function of the informative covariate.
In sims-varyinginfo-smooth
,
similar settings were considered, but using a smooth relationship between the
condition probability of a test being null and the informative covariate.
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 | `varyinginfo-discrete-benchmark-level00`(metadata = TRUE)
## Not run:
`varyinginfo-discrete-benchmark-level00`()
`varyinginfo-discrete-benchmark-level20`()
`varyinginfo-discrete-benchmark-level40`()
`varyinginfo-discrete-benchmark-level60`()
`varyinginfo-discrete-benchmark-level80`()
`varyinginfo-discrete-benchmark-level100`()
res <- `varyinginfo-discrete-benchmark-level100`()
res[[1]]$informative
res[[1]]$uninformative
## End(Not run)
|
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