crm_params-class: Container class for parameters to fit the CRM models in...

In trialr: Clinical Trial Designs in 'rstan'

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

trialr documentation built on April 1, 2023, 12:03 a.m.