Create mash prior object.

create_mixture_prior(
  mixture_prior,
  R,
  null_weight = NULL,
  weights_tol = 1e-10,
  max_mixture_len = -1,
  include_indices = NULL,
  ...
)

Arguments

mixture_prior: a list of (weights = vector(), matrices = list()) where matrices is a list of prior matrices and have same length as weights.
R: number of traits
null_weight: whether or not to add a weight for null in single effect models. By default it takes the null weight from fitted_g if available. Use null_weight = 0 to override this.
weights_tol: Filter out mixture components with weights smaller than weights_tol.
max_mixture_len: Only keep the top priors by weight so that the list of mixture prior is of length max_mixture_len. Use max_mixture_len = -1 to include all input weights after filtering by weights_tol.
include_indices: Post-process input prior to only include conditions from this indices.
...: other parameters, for mvsusieR:::create_cov_canonical

mash prior object for use with mvsusie() function

Add details here.

# Add examples here.