Select a subset of the candidate hyperparameter settings, and return a new varbvs analysis object with these hyperparameter settings only.
# S3 method for varbvs subset(x, subset, …)
x | Output of function |
---|---|
subset | Expression indicating hyperparameter settings to select.
This expression should include one or more of |
… | Other arguments to generic subset function. These extra arguments are not used here. |
An object with S3 class c("varbvs","list")
.
P. Carbonetto and M. Stephens (2012). Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies. Bayesian Analysis 7, 73--108.
# First run one of the examples in help(varbvs), then try running # this. # # fit.new <- subset(fit,logodds < (-2)) #