Man pages for tdmore-dev/tdmore
In silico evaluation of precision dosing
| algebraic | Initialize a structural model using algebraic equations. |
| as.population | Create a typical value subject |
| as.sample | Create a tiible of N random tdmorefit instances |
| autolayer.recommendation | Automatically create the required layers for a recommendation... |
| autoplot.tdmore | Automatically plot a tdmorefit object |
| autoplot.tdmorefit | Plot a tdmorefit object. |
| autoplot.tdmorefit_mixture | Plot a tdmorefit_mixture object. |
| covariate | Create a new covariate object. |
| dataTibble | Utility function to create a data tibble. |
| defaultModel | Get the first available model name in the given directory |
| doseSimulation | Simulate dose adaptation in a population |
| ensurePackagePresent | This utility function will check if the given package is... |
| errorModel | Instantiate a new error model. |
| formula.tdmorefit | Get the model used to provide this fit |
| formulation | Create a new formulation object. |
| getDosingInterval | Get the dosing interval for the given formulation |
| getMetadataByClass | Get metadata by class. |
| getMetadataByName | Get metadata (output, formulation or covariate) by name. |
| getModel | This searches for the given model name in a directory |
| getObservedVariables | Get the observed variables from the tdmore model. |
| linCmt | This function guesses which model should be calculated, based... |
| logLik.tdmorefit | Calculate the log-likelihood of the predicted values. If... |
| metadata | Append metadata to a TDMore model |
| model.frame.tdmore | Get the specified data values, with the upper and lower... |
| model.frame.tdmorefit | Get the observed values used to provide this model fit. |
| mpc | MPC is a generic function to make a tdmore model compatible... |
| observed_variables | Create an 'observed variables' object. This metadata... |
| output | Create a new output object. |
| parameterPlot.tdmorefit | Generate a plot of the parameters |
| pheno | Phenobarbitol dataset, as included in the NONMEM... |
| pheno_nlmixr | NlmixrUI object describing Phenobarbitol 1-compartment model... |
| pk | Executes the requested PK model, and fetches the arguments... |
| pk_ | Algebraic equations for PK models |
| pkmodel | Execute the appropriate PK model, based on the same rules as... |
| posthoc | Find the individual parameters for a set of virtual subjects... |
| predictionLayer | This creates a special type of ggplot2 Layer object. The... |
| predict.tdmore | Predict from a tdmore model |
| predict.tdmorefit | Predict new data using a model fit |
| predict.tdmore_mpc | MPC predict method. This simply generates a cumulative sum... |
| residuals | Get the residual values of a predicted value vs the observed... |
| target | Create a new target. |
| tdmore | Append TDM functionality to a pharmacometrics structural... |
| tdmore.algebraic | Build a tdmore object based on an algebraic model |
| tdmore_mixture | Create a TDMore mixture model. |
| tdmore_mixture_covariates | Create a TDMore mixture model, based on several options for a... |
| theopp | Theophylline dataset, as included in the NONMEM distribution. |
| theopp_nlmixr | NlmixrUI object describing theophylline 1-compartment model... |
