sims-uasettings-t: Simulation study results (unimodal, t-distributed)

In stephaniehicks/benchmarkfdrData2019: Data and Benchmarking Results from Korthauer and Kimes et al. (2019)

Simulation study results (unimodal, t-distributed)

Description

Results for simulations used in Korthauer and Kimes et al. (2019) with 'unimodal' series of effect size distributions (Stephens, 2017) with t_{11} distributed test statistics, and ‘cubic’ informative and paired uninformative covariates stored as a list of SummarizedBenchmark objects from 100 replications. In each simulation, 10% of tests were non-null, i.e. had non-zero effect sizes. Simulations were performed with ‘bimodal’, ‘flat top’, ‘skew’ and ‘spiky’ effect size distributions (see corresponding reference for details).

In sims-uasettings and sims-uasettings-25, similar settings were considered, but with standard Gaussian distributed test statistics and 25% of tests being non-null, respectively.

Arguments

metadata

logical whether to load metadata (TRUE) or full resource (FALSE). (default = FALSE)

Details

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.

References

• Stephens, M. (2017). False discovery rates: a new deal. Biostatistics, 18(2), 275-294.

See Also

sims-uasettings, sims-uasettings-25

Examples

`uasettings-t-benchmark-bimodal`(metadata = TRUE)

## Not run: 
`uasettings-t-benchmark-bimodal`()
`uasettings-t-benchmark-flattop`()
`uasettings-t-benchmark-skew`()
`uasettings-t-benchmark-spiky`()

res <- `uasettings-t-benchmark-spiky`()
res[[1]]$informative
res[[1]]$uninformative

## End(Not run)

stephaniehicks/benchmarkfdrData2019 documentation built on April 13, 2025, 9:02 p.m.