LongitudinalSteinFojo — LongitudinalSteinFojo-class • jmpost

This class extends the general LongitudinalModel class for using the Stein-Fojo model for the longitudinal outcome.

Usage

LongitudinalSteinFojo(
  mu_bsld = prior_normal(log(60), 1),
  mu_ks = prior_normal(log(0.5), 1),
  mu_kg = prior_normal(log(0.3), 1),
  omega_bsld = prior_lognormal(log(0.2), 1),
  omega_ks = prior_lognormal(log(0.2), 1),
  omega_kg = prior_lognormal(log(0.2), 1),
  sigma = prior_lognormal(log(0.1), 1),
  scaled_variance = FALSE,
  centred = FALSE
)

Arguments

mu_bsld: (Prior) for the mean baseline value mu_bsld.
mu_ks: (Prior) for the mean shrinkage rate mu_ks.
mu_kg: (Prior) for the mean growth rate mu_kg.
omega_bsld: (Prior) for the baseline value standard deviation omega_bsld.
omega_ks: (Prior) for the shrinkage rate standard deviation omega_ks.
omega_kg: (Prior) for the growth rate standard deviation omega_kg.
sigma: (Prior) for the variance of the longitudinal values sigma.
scaled_variance: (logical) whether the variance should be scaled by the expected value, corresponding to a multiplicative model. As a default, the variance is not scaled by the expected value, corresponding to an additive model. (See the "Statistical Specifications" vignette for more details.)
centred: (logical) whether to use the centred parameterization.

Value

A LongitudinalSteinFojo object.

Available Links

Examples

LongitudinalSteinFojo()
#> 
#> Stein-Fojo Longitudinal Model (additive error) with parameters:
#>     lm_sf_mu_bsld ~ normal(mu = 4.09434, sigma = 1)
#>     lm_sf_mu_ks ~ normal(mu = -0.69315, sigma = 1)
#>     lm_sf_mu_kg ~ normal(mu = -1.20397, sigma = 1)
#>     lm_sf_omega_bsld ~ lognormal(mu = -1.60944, sigma = 1)
#>     lm_sf_omega_ks ~ lognormal(mu = -1.60944, sigma = 1)
#>     lm_sf_omega_kg ~ lognormal(mu = -1.60944, sigma = 1)
#>     lm_sf_sigma ~ lognormal(mu = -2.30259, sigma = 1)
#>     lm_sf_eta_tilde_bsld ~ std_normal()
#>     lm_sf_eta_tilde_ks ~ std_normal()
#>     lm_sf_eta_tilde_kg ~ std_normal()
#>