Sample data from the Augmented Binary model prior predictive distribution.
Sample data from the prior predictive distributions of the two-period, single arm Augmented Binary model, subject to chosen prior parameters.
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 )
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. |
Object of class tibble
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)
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