trialr: crm_fit-class – R documentation

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trialr

crm_fit-class

Class of model fit by trialr using the CRM dose-finding design.

Description

Class of model fit by trialr using the CRM dose-finding design.

Usage

crm_fit(
  dose_indices,
  num_patients,
  doses,
  tox,
  weights,
  prob_tox,
  median_prob_tox,
  prob_mtd,
  recommended_dose,
  dat,
  fit,
  samples = NULL
)

Arguments

`dose_indices`	A vector of integers representing the dose-levels under consideration.
`num_patients`	Integer, the number of patients analysed.
`doses`	vector of integers representing the dose given to the patients.
`tox`	vector of integers representing the toxicity status of the patients.
`weights`	Vector of numeric weights for the observations for patients 1:num_patients, thus facilitating the TITE-CRM design.
`prob_tox`	The posterior mean probabilities of toxicity at doses 1:n; a vector of numbers between 0 and 1.
`median_prob_tox`	The posterior median probabilities of toxicity at doses 1:n; a vector of numbers between 0 and 1.
`prob_mtd`	The posterior probability that each dose is the MTD, by the chosen model; a vector of numbers between 0 and 1. This probability reflects the uncertainty remaining in the parameter distributions, whereas `prob_tox` and `median_prob_tox` do not.
`recommended_dose`	An integer representing the dose-level that is recommended for the next patient or cohort. Contrast to `modal_mtd_candidate`.
`dat`	Object `crm_params` containing data passed to `sampling`.
`fit`	An object of class `stanfit`, containing the posterior samples.
`samples`	An optional `data.frame` like object of samples.

Details

See methods(class = "crm_fit") for an overview of available methods.