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The variable selection algorithm does not work in case of M > 100 knockoff generations.
I am using the current development version of knockofftools.
knockofftools
options(clustermq.scheduler = "slurm") library(clustermq) #> * Worker disconnect monitor is disabled #> --- see: https://mschubert.github.io/clustermq/articles/userguide.html#installation if (!require(knockofftools)) devtools::install_github("Novartis/knockofftools@26010240dac32809570e537829172f4544928499") #> Loading required package: knockofftools # Simulate some data (example from predictive variables vignette) X <- generate_X(n=500, p=10, p_b=0, cov_type="cov_diag", rho=0.2) lp <- generate_lp(X, p_nn = 5, a=1) trt = sample(c(1,0), nrow(X), replace=TRUE) lp.pred = lp + 1*trt*( as.integer(X[,6]>0) + as.integer(X[,7]>0)) y <- lp.pred + rnorm(nrow(X)) # Create knockoffs and apply variable selection algorithm W <- knockoff.statistics(y=y, X=X, type="regression", statistic = "stat_predictive_causal_forest", trt=trt, M=101) #> Submitting 101 worker jobs (ID: cmq6451) ... #> Running 101 calculations (6 objs/70.2 Kb common; 1 calls/chunk) ... #> Master: [8.7 secs 1.3% CPU]; Worker: [avg 93.9% CPU, max 360.9 Mb] S = variable.selections(W, level = 1, error.type="pfer") # Does not work (the problem seems to be the find_ratio() function which does not return anything) #> Warning in rbinom(1, 1, v0 - floor(v0)): NAs produced #> Error in if (v > 0) {: argument is of length zero # sessionInfo() sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.1 LTS #> #> Matrix products: default #> BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so; LAPACK version 3.10.0 #> #> locale: #> [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C #> [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 #> [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 #> [7] LC_PAPER=en_US.UTF-8 LC_NAME=C #> [9] LC_ADDRESS=C LC_TELEPHONE=C #> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C #> #> time zone: Europe/Dublin #> tzcode source: system (glibc) #> #> attached base packages: #> [1] stats graphics grDevices utils datasets methods base #> #> other attached packages: #> [1] knockofftools_1.0.0 clustermq_0.9.4 #> #> loaded via a namespace (and not attached): #> [1] crayon_1.5.3 vctrs_0.6.5 cli_3.6.3 knitr_1.48 #> [5] rlang_1.1.4 xfun_0.46 generics_0.1.3 glue_1.7.0 #> [9] prettyunits_1.2.0 htmltools_0.5.8.1 hms_1.1.3 fansi_1.0.6 #> [13] rmarkdown_2.27 evaluate_0.24.0 tibble_3.2.1 fastmap_1.2.0 #> [17] progress_1.2.3 yaml_2.3.9 lifecycle_1.0.4 compiler_4.3.2 #> [21] dplyr_1.1.4 codetools_0.2-19 fs_1.6.4 pkgconfig_2.0.3 #> [25] Rcpp_1.0.13 rstudioapi_0.16.0 digest_0.6.36 R6_2.5.1 #> [29] tidyselect_1.2.1 reprex_2.1.0 utf8_1.2.4 pillar_1.9.0 #> [33] magrittr_2.0.3 tools_4.3.2 withr_3.0.0
Created on 2024-07-29 with reprex v2.1.0
The text was updated successfully, but these errors were encountered:
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The variable selection algorithm does not work in case of M > 100 knockoff generations.
I am using the current development version of
knockofftools
.Created on 2024-07-29 with reprex v2.1.0
The text was updated successfully, but these errors were encountered: