mp_logposterior: FUNCTION_TITLE
In finnlindgren/multiprobit: Bayesian Multivariate Probit Regression

Description Usage Arguments Details Value Examples

FUNCTION_DESCRIPTION

mp_logposterior(
  Y,
  X,
  Sigma_model,
  prec_beta,
  beta,
  u,
  ...,
  what = c("loglike", "grad", "grad_beta", "grad_u")
)

mp_logposterior_joint(
  latent,
  Y,
  X,
  Sigma_model,
  prec_beta,
  ...,
  what = c("loglike", "grad")
)

mp_logposterior_fixed_beta(
  latent,
  Y,
  X,
  Sigma_model,
  prec_beta,
  beta,
  ...,
  what = c("loglike", "grad")
)

mp_logposterior_fixed_u(
  latent,
  Y,
  X,
  Sigma_model,
  prec_beta,
  u,
  ...,
  what = c("loglike", "grad")
)

`Y`	PARAM_DESCRIPTION
`X`	PARAM_DESCRIPTION
`Sigma_model`	PARAM_DESCRIPTION
`prec_beta`	PARAM_DESCRIPTION
`beta`	PARAM_DESCRIPTION
`u`	PARAM_DESCRIPTION
`...`	PARAM_DESCRIPTION
`what`	PARAM_DESCRIPTION, Options: "loglike", "grad", with additional options "grad_beta", "grad_u" for `mp_logposterior` only
`latent`	PARAM_DESCRIPTION

DETAILS

OUTPUT_DESCRIPTION

## Not run: 
if (interactive()) {
  # EXAMPLE1
}

## End(Not run)
## Not run: 
if (interactive()) {
  # EXAMPLE1
}

## End(Not run)
## Not run: 
if (interactive()) {
  # EXAMPLE1
}

## End(Not run)
## Not run: 
if (interactive()) {
  # EXAMPLE1
}

## End(Not run)