R: Sample data from the Augmented Binary model prior predictive...

prior_predictive_augbin_2t_1a {trialr}

R Documentation

Sample data from the Augmented Binary model prior predictive distribution.

Description

Sample data from the prior predictive distributions of the two-period, single arm Augmented Binary model, subject to chosen prior parameters.

Usage

prior_predictive_augbin_2t_1a(
  num_samps,
  alpha_mean,
  alpha_sd,
  beta_mean,
  beta_sd,
  gamma_mean,
  gamma_sd,
  sigma_mean,
  sigma_sd,
  omega_lkj_eta,
  alpha_d1_mean,
  alpha_d1_sd,
  gamma_d1_mean,
  gamma_d1_sd,
  alpha_d2_mean,
  alpha_d2_sd,
  gamma_d2_mean,
  gamma_d2_sd
)

Arguments

`num_samps`	Number of samples.
`alpha_mean`	Prior mean of alpha parameter.
`alpha_sd`	Prior sd of alpha parameter.
`beta_mean`	Prior mean of beta parameter.
`beta_sd`	Prior sd of beta parameter.
`gamma_mean`	Prior mean of gamma parameter.
`gamma_sd`	Prior sd of gamma parameter.
`sigma_mean`	Prior mean of sigma parameter.
`sigma_sd`	Prior sd of sigma parameter.
`omega_lkj_eta`	Prior eta parameter for LKJ prior on covariance matrix of log tumour sizes.
`alpha_d1_mean`	Prior mean of alpha_D1 parameter.
`alpha_d1_sd`	Prior sd of alpha_D1 parameter.
`gamma_d1_mean`	Prior mean of gamma_D1 parameter.
`gamma_d1_sd`	Prior sd of gamma_D1 parameter.
`alpha_d2_mean`	Prior mean of alpha_D2 parameter.
`alpha_d2_sd`	Prior sd of alpha_D2 parameter.
`gamma_d2_mean`	Prior mean of gamma_D2 parameter.
`gamma_d2_sd`	Prior sd of gamma_D2 parameter.

Value

Object of class tibble

Examples

prior_predictive_augbin_2t_1a(num_samps = 1000,
                              alpha_mean = 0, alpha_sd = 1,
                              beta_mean = 0, beta_sd = 1,
                              gamma_mean = 0, gamma_sd = 1,
                              sigma_mean = 0, sigma_sd = 1,
                              omega_lkj_eta = 1,
                              alpha_d1_mean = 0, alpha_d1_sd = 1,
                              gamma_d1_mean = 0, gamma_d1_sd = 1,
                              alpha_d2_mean = 0, alpha_d2_sd = 1,
                              gamma_d2_mean = 0, gamma_d2_sd = 1)