sims-varyinginfo-discrete | R Documentation |
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.
sims-varyinginfo-smooth
`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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