Container class for parameters to fit the CRM models in trialr.
Container class for parameters to fit the CRM models in trialr.
crm_params( skeleton, target, a0 = NULL, alpha_mean = NULL, alpha_sd = NULL, beta_mean = NULL, beta_sd = NULL, beta_shape = NULL, beta_inverse_scale = NULL )
skeleton |
a vector of the prior guesses of toxicity at doses. This should be a monotonically-increasing vector of numbers between 0 and 1. |
target |
the target toxicity probability, a number between 0 and 1.
This value would normally be one of the values in |
a0 |
Value of fixed intercept parameter. Only required for certain models. See Details. |
alpha_mean |
Prior mean of intercept variable for normal prior. Only required for certain models. See Details. |
alpha_sd |
Prior standard deviation of intercept variable for normal prior. Only required for certain models. See Details. |
beta_mean |
Prior mean of gradient variable for normal prior. Only required for certain models. See Details. |
beta_sd |
Prior standard deviation of slope variable for normal prior. Only required for certain models. See Details. |
beta_shape |
Prior shape parameter of slope variable for gamma prior. Only required for certain models. See Details. |
beta_inverse_scale |
Prior inverse scale parameter of slope variable for gamma prior. Only required for certain models. See Details. |
Different model parameterisations require that difference parameter values are specified.
empiric modelbeta_sd
logistic modela0
beta_mean
beta_sd
logistic_gamma modela0
beta_shape
beta_inverse_scale
logistic2 modelalpha_mean
alpha_sd
beta_mean
beta_sd
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