BayesFBHborrow (version 2.0.2)

.shuffle_split_point_location_NoBorrow: Metropolis Hastings step: shuffle the split point locations (without Bayesian borrowing)

Description

Metropolis Hastings step: shuffle the split point locations (without Bayesian borrowing)

Usage

.shuffle_split_point_location_NoBorrow(
  df,
  Y_0,
  I_0,
  X_0,
  lambda_0,
  beta_0,
  s,
  J,
  bp_0,
  clam_smooth
)

Value

list containing new split points, updated Sigma_s and data.frames for historic and current trial data

Arguments

df

dataframe containing trial data and parameters

Y_0

data

I_0

censoring indicator

X_0

design matrix

lambda_0

baseline hazard

beta_0

parameter vector

s

split point locations, J + 2

J

number of split points

bp_0

number of covariates in historical trial

clam_smooth

neighbor interactions, in range (0, 1), for ICAR update