jean997
. See also theR-universe documentation.Package: GWASBrewer 0.3.0.0214
GWASBrewer: Simulate Realistic GWAS Summary Statistics
Simulate GWAS summary statistics from specified DAG or factor structure.
Authors:
GWASBrewer_0.3.0.0214.tar.gz
GWASBrewer_0.3.0.0214.zip(r-4.5)GWASBrewer_0.3.0.0214.zip(r-4.4)GWASBrewer_0.3.0.0214.zip(r-4.3)
GWASBrewer_0.3.0.0214.tgz(r-4.4-any)GWASBrewer_0.3.0.0214.tgz(r-4.3-any)
GWASBrewer_0.3.0.0214.tar.gz(r-4.5-noble)GWASBrewer_0.3.0.0214.tar.gz(r-4.4-noble)
GWASBrewer_0.3.0.0214.tgz(r-4.4-emscripten)GWASBrewer_0.3.0.0214.tgz(r-4.3-emscripten)
GWASBrewer.pdf |GWASBrewer.html✨
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
Last updated 1 months agofrom:fdea10e7c4. Checks:OK: 1 WARNING: 6. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 12 2024 |
R-4.5-win | WARNING | Dec 12 2024 |
R-4.5-linux | WARNING | Dec 12 2024 |
R-4.4-win | WARNING | Dec 12 2024 |
R-4.4-mac | WARNING | Dec 12 2024 |
R-4.3-win | WARNING | Dec 12 2024 |
R-4.3-mac | WARNING | Dec 12 2024 |
Exports:compute_h2fast_lmfixed_to_scale_famgen_genos_mvngenerate_F_simplegenerate_F2generate_random_Fmixnorm_to_scale_famresample_inddataresample_sumstatsrescale_sumstatsrnormalmixsim_extract_ldsim_ld_proxysim_ld_prunesim_lfsim_mvsim_mv_determinedxyz_to_G
Dependencies:clicpp11dplyrfansigenericsgluelatticelifecyclemagrittrMASSMatrixpillarpkgconfigplyrpurrrR6Rcppreshape2rlangstringistringrtibbletidyrtidyselectutf8vctrswithr
Controlling Effect Size Distributions
Rendered fromeffect_distribution.Rmd
usingknitr::rmarkdown
on Dec 12 2024.Last update: 2024-03-27
Started: 2023-04-17
Resampling and Re-Scaling Summary and Individual Level Data
Rendered fromresampling.Rmd
usingknitr::rmarkdown
on Dec 12 2024.Last update: 2024-03-27
Started: 2023-08-23
Simulating Data
Rendered fromsimulating_data.Rmd
usingknitr::rmarkdown
on Dec 12 2024.Last update: 2024-04-07
Started: 2022-08-24
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Compute heritability from standardized or non-standardized effects | compute_h2 |
Generate beta hats from standardized or non-standardized direct SNP effects and LD | gen_bhat_from_b |
Generate random F | generate_random_F |
GWASBrewer | GWASBrewer-package GWASBrewer |
Sample individual level data with joint effects matching a sim_mv object | resample_inddata |
Resample Summary Statistics for Existing Simulation Object | resample_sumstats |
Re-Scale Effects of a Simulation Object | rescale_sumstats |
Simulate from a normal mixture distribution | rnormalmix |
Extract LD matrix from simulated data | sim_extract_ld |
Retrieve LD proxies | sim_ld_proxy |
LD prune simulated data | sim_ld_prune |
Simulate summary statistics | sim_lf |
Simulate multivariate GWAS data | sim_mv |
Simulate multivariate GWAS Data with Specified Direct Effects | sim_mv_determined |
Generate G from XYZ Specification | xyz_to_G |