List of priors
List of priors
z_mu_mu\(\mu^{\mu^z}\) ~ normal(z_mu_mu[1], z_mu_mu[2])
z_mu_sigma\(\sigma^{\mu^z}\) ~ normal(z_mu_sigma[1], z_mu_sigma[2])
z_sigma_mu\(\mu^{\sigma^z}\) ~ normal(z_sigma_mu[1], z_sigma_mu[2])
z_sigma_sigma\(\sigma^{\sigma^z}\) ~ normal(z_sigma_sigma[1], z_sigma_sigma[2])
x_sigma_mu\(\mu^{\sigma^x}\) ~ normal(x_sigma_mu[1], x_sigma_mu[2])
x_sigma_sigma\(\sigma^{\sigma^x}\) ~ normal(x_sigma_sigma[1], x_sigma_sigma[2])
y_sigma_mu\(\mu^{\sigma^y}\) ~ normal(y_sigma_mu[1], y_sigma_mu[2])
y_sigma_sigma\(\sigma^{\sigma^y}\) ~ normal(y_sigma_sigma[1], y_sigma_sigma[2])
g_mu\(\mu^g\) ~ normal(g_mu[1], g_mu[2])
g_sigma\(\sigma^g\) ~ normal(g_sigma[1], g_sigma[2])
a_mu\(\mu^a\) ~ normal(a_mu[1], a_mu[2])
a_sigma\(\sigma^a\) ~ normal(a_sigma[1], a_sigma[2])
new()Create a new Model object. All values must be greater than 0.
DemingPrior$new( z_mu_mu = c(0, 10), z_mu_sigma = c(0, 10), z_sigma_mu = c(0, 10), z_sigma_sigma = c(0, 10), x_sigma_mu = c(0, 10), x_sigma_sigma = c(0, 10), y_sigma_mu = c(0, 10), y_sigma_sigma = c(0, 10), g_mu = c(0, 10), g_sigma = c(0, 10), a_mu = c(0, 10), a_sigma = c(0, 10) )
z_mu_muvector of length 2
z_mu_sigmavector of length 2
z_sigma_muvector of length 2
z_sigma_sigmavector of length 2
x_sigma_muvector of length 2
x_sigma_sigmavector of length 2
y_sigma_muvector of length 2
y_sigma_sigmavector of length 2
g_muvector of length 2
g_sigmavector of length 2
a_muvector of length 2
a_sigmavector of length 2
A new Prior object.
as_list()Convert object to a list. This is useful when passing data to Stan
DemingPrior$as_list()
clone()The objects of this class are cloneable with this method.
DemingPrior$clone(deep = FALSE)
deepWhether to make a deep clone.