Prior specification or prior sampling for SEM estimation.
get_prior_SEM(
prior = NULL,
n_pars = NULL,
sample = TRUE,
N = 1e+05,
selection = "mu",
design = NULL,
Lambda_mat = NULL,
B_mat = NULL,
K_mat = NULL,
G_mat = NULL,
covariates = NULL
)A list with a single entry of type of samples from the prior (if sample = TRUE) or else a prior object
A named list containing the prior mean on group-level mean (theta_mu_mean), variance of group-level mean (theta_mu_var), variance of the loadings and G (lambda_var), variance of the latent regressions and (B_var), shape and rate prior on the factor variances (a_p and b_p), and shape and rate prior on the residual variances (a_e and b_e)
Argument used by the sampler, best left NULL. In user case inferred from the design
Whether to sample from the prior. Default is TRUE. If not returns a prior list
How many samples to draw from the prior, default 1e5
Which parameter type to select e.g. alpha
The design obtained from design, required when map = TRUE
The loadings constraint matrix
The latent regressions constraint matrix
The regression on the parameters by the included covariates
The regression on the latent factors by the included covariates
The included covariates