crm_params-class {trialr}

Container class for parameters to fit the CRM models in trialr.

Description

Container class for parameters to fit the CRM models in trialr.

Usage

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
)

Arguments

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 skeleton, but that is not a requirement.

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.

Details

Different model parameterisations require that difference parameter values are specified.

Parameter requirements of empiric model

• beta_sd

Parameter requirements of logistic model

• a0

• beta_mean

• beta_sd

Parameter requirements of logistic_gamma model

• a0

• beta_shape

• beta_inverse_scale

Parameter requirements of logistic2 model

• alpha_mean

• alpha_sd

• beta_mean

• beta_sd

See Also

stan_crm