All functions 


Cast 

Calculate dosepath probabilities 

Cohort numbers of evaluated patients. 

Sample times between patient arrivals using the exponential distribution. 

Should this dosefinding experiment continue? 

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 CRM 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 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 EffTox model using the trialr package. 

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

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? 

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 BOIN's MTDchoosing algorithm. 

Select dose by the CIBP selection criterion. 

Dose selector. 

Dose selector factory. 

Simulate clinical trials. 

Get function for simulating trials. 

Simulated trials. 

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

Stop when there are n patients in total. 

Stop when there are n patients at a dose. 

Stop 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. 