Arguments
formula
A formula of the form formula = Y ~ X1 + X2,
where Y is the response and variables on the right-hand side
are covariates.
dataSet
An optional data frame, list, or environment containing the variables in the model.
pQuant
Response quantile to model. Defaults to pQuant=0.5.
nSamp
Number of MCMC iterations, with a default of 5000.
burn
Iterations of burn-in, with a default of 0.
thin
Number of iterations to skip between stored values, with a default of 0.
C0
Prior shape for $\tau$, which is the inverse scale of the response. Defaults to 1.
D0
Prior scale for $\tau$.
B0
Prior precision (i.e., inverse variance) for $\beta$ regression parameters. Default is a diagonal matrix with non-zero values of 0.01. May be left at NULL, or changed to a non-negative scalar, a vector with
length equal to the number of covariates, or a symmetric, positive semi-definite matrix with dimension equal to the number of covariates.
betaZero
Starting value for $\beta$.
verbose
If TRUE, prints progress updates in Gibbs sampler.