bfa_wrapper: Wrapper for the bfa package.

In dcgerard/vicar: Various Ideas for Confounder Adjustment in Regression

Description

This is just a wrapper for using the bfa_gauss from the bfa package. Default settings are used.

Usage

bfa_wrapper(
  Y21,
  Y31,
  Y32,
  k,
  nsamp = 10000,
  burnin = round(nsamp/4),
  keep = 20,
  print_status = 500
)

Arguments

Y21	Top left of matrix.
Y31	Bottom left of matrix.
Y32	Top right of matrix.
k	The rank of the mean matrix.
nsamp	A positive integer. The number of samples to draw.
burnin	A positive integer. The number of early samples to discard.
keep	A positive integer. We will same the updates of Y22 every keep iteration of the Gibbs sampler.
print_status	How often should bfa print updates?

Author(s)

David Gerard

See Also

bfa_gauss for the workhorse function.

dcgerard/vicar documentation built on July 7, 2021, 1:08 p.m.