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trialr (version 0.1.6)

crm_params-class: 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.

Parameter requirements of <code>empiric</code> model

  • beta_sd

Parameter requirements of <code>logistic</code> model

  • a0

  • beta_mean

  • beta_sd

Parameter requirements of <code>logistic_gamma</code> model

  • a0

  • beta_shape

  • beta_inverse_scale

Parameter requirements of <code>logistic2</code> model

  • alpha_mean

  • alpha_sd

  • beta_mean

  • beta_sd

Details

Different model parameterisations require that difference parameter values are specified.

See Also

stan_crm