mash_compute_posterior_matrices | R Documentation |
Compute posterior matrices for fitted mash object on new data
mash_compute_posterior_matrices(
g,
data,
pi_thresh = 1e-10,
algorithm.version = c("Rcpp", "R"),
A = NULL,
output_posterior_cov = FALSE,
posterior_samples = 0,
seed = 123
)
g |
a mash object or the fitted_g from a mash object. |
data |
a set of data on which to compute the posterior matrices |
pi_thresh |
threshold below which mixture components are ignored in computing posterior summaries (to speed calculations by ignoring negligible components) |
algorithm.version |
Indicates whether to use R or Rcpp version |
A |
the linear transformation matrix, Q x R matrix. This is used to compute the posterior for Ab. |
output_posterior_cov |
whether or not to output posterior covariance matrices for all effects |
posterior_samples |
the number of samples to be drawn from the posterior distribution of each effect. |
seed |
a random number seed to use when sampling from the
posteriors. It is used when |
A list of posterior matrices
simdata = simple_sims(50,5,1)
data = mash_set_data(simdata$Bhat, simdata$Shat)
m = mash(data, cov_canonical(data))
mash_compute_posterior_matrices(m,data)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.