Create prior distributions for a model.

Constructs a list of prior distributions for model parameters. This function validates the input arguments and returns a list with class capturetbpriors. See vignette("03_model-fitting", package = "capturetb") for details of the model structure.

Usage

capturetb_priors(
  alpha.mean = 0,
  alpha.precision = 0.01,
  sigma.scale = 10,
  sigma_c.scale = 10,
  sigma_f.scale = 10,
  sigma_v.scale = 10,
  beta.mean = 0,
  beta.precision = 0.01
)

Arguments

alpha.mean

Numeric scalar. Mean of the prior for the intercept alpha. Default is 0.

alpha.precision

Numeric scalar. Precision (inverse variance) of the prior for the intercept `alpha“. Default is 0.01.

sigma.scale

Numeric scalar. Scale parameter for Half-Cauchy prior on sigma. Default is 1.

sigma_c.scale

Numeric scalar. Scale parameter for Half-Cauchy prior on sigma_c. Default is 1.

sigma_f.scale

Numeric scalar. Scale parameter for Half-Student-t with 3 degrees of freedom prior on sigma_f. Default is 1.

sigma_v.scale

Numeric scalar. Scale parameter for Half-Cauchy prior on sigma_v. Default is 1.

beta.mean

Numeric vector. Means of the priors for the beta coefficients of fixed effects.

beta.precision

Numeric vector. Precision of the priors for the beta coefficients of fixed effects.

Value

A list of prior parameters with class capturetbpriors.