Gibbs_estimator {LTFGRS} | R Documentation |
Wrapper around the Gibbs Sampler that returns formatted liability estimates for the proband
Description
Wrapper around the Gibbs Sampler that returns formatted liability estimates for the proband
Usage
Gibbs_estimator(cov, tbl, out, tol = 0.01, burn_in = 1000)
Arguments
cov |
Covariance (kinship matrix times heritability with corrected diagonal) matrix |
tbl |
Tibble with lower and upper bounds for the Gibbs sampler |
out |
Vector indicating if genetic ans/or full liabilities should be estimated |
tol |
Convergence criteria, tolerance |
burn_in |
Number of burn-in iterations |
Value
Formatted liability estimate(s) and standard error(s) of the mean for the proband.
Examples
# uninformative sampling:
Gibbs_estimator(cov = diag(3), tbl = tibble::tibble(lower = rep(-Inf, 3),
upper = rep(Inf, 3)), out = 1:2, tol = 0.01, burn_in = 1000)
[Package LTFGRS version 1.0.0 Index]