Factor prior specification

Usage

set_matfactor(
  nrow_factor = 0,
  ncol_factor = 0,
  is_rw = FALSE,
  factor_lag = 1,
  row_spec = NULL,
  col_spec = row_spec,
  factor_arsig = set_ldlt()
)

is.matfactorspec(x)

Arguments

nrow_factor: Number of rows of factor matrix. By default, 0 which will does not use factor term.
ncol_factor: Number of columns of factor matrix. By default, 0 which will does not use factor term.
is_rw: If TRUE, factor follows random walk process.
factor_lag: Lag of factor autoregressions.
row_spec: Row coefficient specification in factor MAR
col_spec: Column coefficient specification in factor MAR
factor_arsig: Inverse-Gamma prior for factor AR covariance. bvhar::set_ldlt() can specify the IG shape and scale.
x: Any object