Set priors in package

Modify default priors in package.

Usage

new_mbsempriors(
  lkj_shape = 2,
  ml_par = 0,
  sl_par = 1,
  rs_par = 1,
  rc_par = 2,
  sc_par = 0.5,
  rm_par = 0.15
)

Arguments

lkj_shape

(positive real) The shape parameter of the LKJ-prior on the interfactor correlation matrix in confirmatory factor models.

ml_par

(real) The location parameter of the normal prior on loadings.

sl_par

(positive real) The scale parameter of the normal prior on loadings.

rs_par

(positive real) The scale parameter of the Student-t(df = 3, loc = 0) prior on the residual standard deviations.

rc_par

(positive real) The shape parameter of the Beta(rc_par, rc_par) prior on the residual error correlations.

sc_par

(positive real) The scale parameter of the normal prior on coefficients.

rm_par

(positive real) The scale parameter of the normal prior on the tau / CRMR parameter.

Value

An object of mbsempriors-class

Examples

# Change LKJ shape parameter only
custom_priors <- new_mbsempriors(lkj_shape = 1.0)
if (FALSE) {
minorbsem("F1 =~ x1 + x2 + x3
           F2 =~ x4 + x5 + x6
           F3 =~ x7 + x8 + x9", HS,
  priors = custom_priors
)
}