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In this short vignette, we fit a sparse linear regression model with up to \(L > 0\) non-zero effects. Generally, there is no harm in over-stating \(L\) (that is, the method is pretty robust to overfitting), except that computation will grow as \(L\) grows.
Here is a minimal example:
library(susieR)
set.seed(1)
n <- 1000
p <- 1000
beta <- rep(0,p)
beta[c(1,2,300,400)] <- 1
X <- matrix(rnorm(n*p),nrow=n,ncol=p)
y <- X %*% beta + rnorm(n)
res <- susie(X,y,L=10)
plot(coef(res)[-1],pch = 20)
Plot the ground-truth outcomes vs. the predicted outcomes:
plot(y,predict(res),pch = 20)
Here are some details about the computing environment, including the versions of R, and the R packages, used to generate these results.
sessionInfo()
# R version 3.6.2 (2019-12-12)
# Platform: x86_64-apple-darwin15.6.0 (64-bit)
# Running under: macOS Catalina 10.15.7
#
# Matrix products: default
# BLAS: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
# LAPACK: /Library/Frameworks/R.framework/Versions/3.6/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] susieR_0.12.35
#
# loaded via a namespace (and not attached):
# [1] tidyselect_1.1.1 xfun_0.29 bslib_0.3.1 purrr_0.3.4
# [5] lattice_0.20-38 colorspace_1.4-1 vctrs_0.3.8 generics_0.0.2
# [9] htmltools_0.5.2 yaml_2.2.0 utf8_1.1.4 rlang_1.0.6
# [13] mixsqp_0.3-46 jquerylib_0.1.4 pillar_1.6.2 glue_1.4.2
# [17] DBI_1.1.0 RcppZiggurat_0.1.5 matrixStats_0.63.0 lifecycle_1.0.0
# [21] plyr_1.8.5 stringr_1.4.0 munsell_0.5.0 gtable_0.3.0
# [25] evaluate_0.14 knitr_1.37 fastmap_1.1.0 parallel_3.6.2
# [29] irlba_2.3.3 fansi_0.4.0 Rfast_2.0.3 highr_0.8
# [33] Rcpp_1.0.8 scales_1.1.0 jsonlite_1.7.2 ggplot2_3.3.6
# [37] digest_0.6.23 stringi_1.4.3 dplyr_1.0.7 grid_3.6.2
# [41] cli_3.5.0 tools_3.6.2 magrittr_2.0.1 sass_0.4.0
# [45] tibble_3.1.3 crayon_1.4.1 pkgconfig_2.0.3 ellipsis_0.3.2
# [49] Matrix_1.2-18 assertthat_0.2.1 rmarkdown_2.11 reshape_0.8.8
# [53] R6_2.4.1 compiler_3.6.2These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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