BayesSurv_AFTtv: Bayesian Accelerated Failure Time Model with...

In harrisonreeder/AFTTV: What the Package Does (One Line, Title Case)

Description

Bayesian Accelerated Failure Time Model with Percentile-varying Effects

Usage

BayesSurv_AFTtv(
  Y,
  Xmat,
  Xvec_tv,
  prior_list,
  tuning_vec,
  hyper_list,
  knots,
  numReps,
  thin,
  burninPerc,
  n_chains = NULL,
  start_list = NULL
)

Arguments

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
Xvec_tv	an n-length vector with the covariate having a time-varying effect
prior_list	a list of priors being used
tuning_vec	a vec of tuning parameters
hyper_list	a list of hyperparameters
knots	a vector of knots (doesn't start with 0, does end with maximum time)
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

Value

a list with outputs

harrisonreeder/AFTTV documentation built on Dec. 20, 2021, 2:51 p.m.