Package: GWASBrewer 0.3.0.0238

Jean Morrison

GWASBrewer: Simulate Realistic GWAS Summary Statistics

Simulate GWAS summary statistics from specified DAG or factor structure.

Authors:Jean Morrison

GWASBrewer_0.3.0.0238.tar.gz
GWASBrewer_0.3.0.0238.zip(r-4.7)GWASBrewer_0.3.0.0238.zip(r-4.6)GWASBrewer_0.3.0.0238.zip(r-4.5)
GWASBrewer_0.3.0.0238.tgz(r-4.6-x86_64)GWASBrewer_0.3.0.0238.tgz(r-4.6-arm64)GWASBrewer_0.3.0.0238.tgz(r-4.5-x86_64)GWASBrewer_0.3.0.0238.tgz(r-4.5-arm64)
GWASBrewer_0.3.0.0238.tar.gz(r-4.7-arm64)GWASBrewer_0.3.0.0238.tar.gz(r-4.7-x86_64)GWASBrewer_0.3.0.0238.tar.gz(r-4.6-arm64)GWASBrewer_0.3.0.0238.tar.gz(r-4.6-x86_64)
GWASBrewer_0.3.0.0238.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GWASBrewer/json (API)

# Install 'GWASBrewer' in R:
install.packages('GWASBrewer', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jean997/gwasbrewer/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

openblascpp

5.20 score 11 stars 24 scripts 22 exports 27 dependencies

Last updated from:8ab3b99ce5. Checks:11 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE191
linux-devel-x86_64NOTE215
source / vignettesOK348
linux-release-arm64NOTE227
linux-release-x86_64NOTE203
macos-release-arm64NOTE188
macos-release-x86_64NOTE425
macos-oldrel-arm64NOTE191
macos-oldrel-x86_64NOTE396
windows-develNOTE198
windows-releaseNOTE216
windows-oldrelNOTE197
wasm-releaseOK153

Exports:compute_h2fast_eigenfast_eigen_valsfast_lmfixed_to_scale_famgen_genos_mvngenerate_F_simplegenerate_F2generate_random_Fhapsim_simplemixnorm_to_scale_famresample_inddataresample_sumstatsrescale_sumstatsrnormalmixsim_extract_ldsim_ld_proxysim_ld_prunesim_lfsim_mvsim_mv_determinedxyz_to_G

Dependencies:clicpp11dplyrgenericsgluelatticelifecyclemagrittrMASSMatrixpillarpkgconfigplyrpurrrR6RcppRcppArmadilloreshape2rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Controlling Effect Size Distributions

Rendered fromeffect_distribution.Rmdusingknitr::rmarkdownon May 18 2026.

Last update: 2024-03-27
Started: 2023-04-17

Resampling and Re-Scaling Summary and Individual Level Data

Rendered fromresampling.Rmdusingknitr::rmarkdownon May 18 2026.

Last update: 2024-03-27
Started: 2023-08-23

Simulating Data

Rendered fromsimulating_data.Rmdusingknitr::rmarkdownon May 18 2026.

Last update: 2024-04-07
Started: 2022-08-24