tune.sven: Tune SVEN Parameters
In bravo: Bayesian Screening and Variable Selection
View source: R/calc_functions.R
tune.sven R Documentation
Tune SVEN Parameters
Description
Runs 100 parallel simulations and returns the optimal (lambda, w) pair.
Usage
tune.sven(x, R2 = 0.5, ehits = 20, betamax = 1, n.cores)
Arguments
x
Cleaned SNP matrix.
R2
Heritability (default 0.5).
ehits
Expected number of causal SNPs.
betamax
Maximum effect size magnitude (default 1).
n.cores
Number of cores for parallel computation.
bravo documentation built on May 27, 2026, 5:08 p.m.
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View source: R/calc_functions.R
| tune.sven | R Documentation |
Tune SVEN Parameters
Description
Runs 100 parallel simulations and returns the optimal (lambda, w) pair.
Usage
tune.sven(x, R2 = 0.5, ehits = 20, betamax = 1, n.cores)
Arguments
x |
Cleaned SNP matrix. |
R2 |
Heritability (default 0.5). |
ehits |
Expected number of causal SNPs. |
betamax |
Maximum effect size magnitude (default 1). |
n.cores |
Number of cores for parallel computation. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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