Last updated: 2018-04-20
Code version: 830dced
No id variables; using all as measure variables
No id variables; using all as measure variables
No id variables; using all as measure variables
No id variables; using all as measure variables
The following plots show that although the performance of CASH
is not ideal for the more sparse case (\(\pi_0 = 0.9\)), it gives results under correlation similar to what other methods give under independence.
sessionInfo()
R version 3.4.3 (2017-11-30)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.4
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggplot2_2.2.1 reshape2_1.4.3 edgeR_3.20.2
[4] limma_3.34.4 ashr_2.2-2 Rmosek_8.0.69
[7] PolynomF_1.0-1 CVXR_0.94-4 REBayes_1.2
[10] Matrix_1.2-12 SQUAREM_2017.10-1 EQL_1.0-0
[13] ttutils_1.0-1
loaded via a namespace (and not attached):
[1] gmp_0.5-13.1 Rcpp_0.12.16 pillar_1.0.1
[4] plyr_1.8.4 compiler_3.4.3 git2r_0.21.0
[7] R.methodsS3_1.7.1 R.utils_2.6.0 iterators_1.0.9
[10] tools_3.4.3 digest_0.6.15 bit_1.1-12
[13] tibble_1.4.1 gtable_0.2.0 evaluate_0.10.1
[16] lattice_0.20-35 rlang_0.1.6 foreach_1.4.4
[19] yaml_2.1.18 parallel_3.4.3 Rmpfr_0.6-1
[22] ECOSolveR_0.3-2 stringr_1.3.0 knitr_1.20
[25] locfit_1.5-9.1 rprojroot_1.3-2 bit64_0.9-7
[28] grid_3.4.3 R6_2.2.2 rmarkdown_1.9
[31] magrittr_1.5 scales_0.5.0 MASS_7.3-47
[34] backports_1.1.2 codetools_0.2-15 htmltools_0.3.6
[37] scs_1.1-1 colorspace_1.3-2 labeling_0.3
[40] stringi_1.1.6 lazyeval_0.2.1 munsell_0.4.3
[43] doParallel_1.0.11 pscl_1.5.2 truncnorm_1.0-7
[46] R.oo_1.21.0
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