View source: R/prior_predictive_augbin_2t_1a.R
prior_predictive_augbin_2t_1a | R Documentation |
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
stan_augbin
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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