BayesSurv_AFT2: Bayesian Accelerated Failure Time Model
In harrisonreeder/AFTTV: What the Package Does (One Line, Title Case)

Bayesian Accelerated Failure Time Model

BayesSurv_AFT2(
  Y,
  Xmat,
  tuning_vec,
  hyper_list,
  numReps,
  thin,
  burninPerc,
  n_chains = NULL,
  start_list = NULL
)

`Y`	an n by 3 matrix with columns: left end of interval, right end of interval, left truncation time
`Xmat`	an n by p matrix of covariates
`tuning_vec`	a vec of tuning parameters
`hyper_list`	a list of hyperparameters
`numReps`	numeric total number of iterations
`thin`	numeric number of iterations to take before each sample
`burninPerc`	numeric proportion of numReps to toss as burn-in
`n_chains`	numeric number of chains to initialize, if start_list is null
`start_list`	a list of lists of start values. If null, n_chains sets number of chains
`Xvec_tv`	an n-length vector with the covariate having a time-varying effect
`prior_list`	a list of priors being used
`knots`	a vector of knots (doesn't start with 0, does end with maximum time)