All functions 


A sample of patients that experience correlated events in simulations. 

A sample of patients to use in simulations. 

Cast 

Cast 

Convert a simulations_collection to a tibble 

Calculate dosepath probabilities 

Check the consistency of a dose_selector instance 

Cohort numbers of evaluated patients. 

Sample times between patient arrivals using the exponential distribution. 

Should this dosefinding experiment continue? 

Plot the convergence processes from a collection of simulations. 

Dosepaths with probabilities attached. 

Demand there are n patients at a dose before condisdering stopping. 

Prevent skipping of doses. 

Is each dose admissible? 

Dose indices 

Dose pathways 

Get function for calculating dose pathways. 

Doses given to patients. 

Binary efficacy outcomes. 

Number of toxicities seen at each dose. 

Efficacy rate limit 

Observed efficacy rate at each dose. 

Observed toxicity rate at each dose. 

Enforce that a trial path has followed the 3+3 method. 

The 'escalation' package. 

Fit a dosefinding model. 

Follow a predetermined dose administration path. 

Get an object to fit the BOIN model using the BOIN package. 

Get an object to fit the BOIN12 model for phase I/II dosefinding. 

Get an object to fit the CRM model using the dfcrm package. 

Get an object to fit the TITECRM model using the dfcrm package. 

Calculate future dose paths. 

Get posterior model weights for several empiric CRM skeletons. 

Get an object to fit the mTPI dosefinding model. 

Get an object to fit the mTPI2 dosefinding model. 

Get potential outcomes from a list of PatientSamples 

Get an object to fit a doseselector that randomly selects doses. 

Get an object to fit the 3+3 model. 

Get an object to fit the TPI dosefinding model. 

Get an object to fit the CRM model using the trialr package. 

Get an object to fit the TITECRM model using the trialr package. 

Get an object to fit the EffTox model using the trialr package. 

Get an object to fit the NBG dosefinding model using the trialr package. 

Get an object to fit a TITE version of the NBG dosefinding model using trialr 

Get an object to fit Wages & Tait's model for phase I/II dosefinding. 

Visualise dosepaths as a graph 

Is this selector currently randomly allocating doses? 

Weights for tolerance and toxicity events using linear function of time 

Mean efficacy rate at each dose. 

Mean toxicity rate at each dose. 

Median efficacy rate at each dose. 

Median toxicity rate at each dose. 

Model dataframe. 

Number of patients treated at each dose. 

Number of patients treated at the recommended dose. 

Number of different possible outcomes for a cohort of patients 

Number of nodes in dosepaths analysis 

Number of doses. 

Total number of efficacies seen. 

Number of patients evaluated. 

Total number of toxicities seen. 

Parse a string of phase I/II dosefinding outcomes to vector notation. 

Parse a string of phase I dosefinding outcomes to vector notation. 

Break a phase I/II outcome string into a list of cohort parts. 

Break a phase I outcome string into a list of cohort parts. 

Percentage of patients treated at each dose. 

Quantile of the efficacy rate at each dose. 

Probability of recommendation 

Probability that the toxicity rate exceeds some threshold. 

Quantile of the toxicity rate at each dose. 

Get samples of the probability of toxicity. 

Recommended dose for next patient or cohort. 

Select dose by BOIN12's OBDchoosing algorithm. 

Select dose by BOIN's MTDchoosing algorithm. 

Select dose by the CIBP selection criterion. 

Select dose by mTPI2's MTDchoosing algorithm. 

Select dose by mTPI's MTDchoosing algorithm. 

Select dose by TPI's MTDchoosing algorithm. 

Dose selector. 

Dose selector factory. 

Simulate clinical trials for several designs using common patients. 

Simulate clinical trials. 

Get function for simulating trials. 

Simulated trials. 

Make an instance of type 

Spread the information in dose_finding_paths object to a wide data.frame format. 

Stack 

Stop when there are n patients in total. 

Stop when there are n patients at a dose. 

Stop trial and recommend no dose when a dose is too toxic. 

Stop when uncertainty interval of prob tox is covered. 

Does this selector support sampling of outcomes? 

Fit the 3+3 model to some outcomes. 

Binary toxicity outcomes. 

Number of toxicities seen at each dose. 

Toxicity rate limit 

Target toxicity rate 

Duration of trials. 

Demand that a rescue dose is tried before stopping is permitted. 

Utility score of each dose. 

Outcome weights. 