Package index
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adjust_dose_checks()
- Checks for dose_update_number obtained from dose_update scheme
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calc_auc_from_sim()
- Get AUC from a simulation
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check_when()
- Check / clean when element
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collect_tdms()
- Simulate TDM collection
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create_cov_object()
- Create a list of PKPDsim covariates for modeling
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create_design()
- Create timing designs (static or adaptive) for use in simulated trial, such as sampling designs, target designs etc.
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create_regimen_update_design()
- Create scheme for updating dose or interval during dose optimization trial
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create_sampling_design()
- Function for creating sampling designs.
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create_target_design()
- Create target object
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dose_grid_search()
- Perform a grid search for a particular target by simulating a grid of doses
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calc_concentration_from_regimen()
calc_auc_from_regimen()
- Calculate exposure metrics
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filter_rows_0_100()
- Filter rows with values 0 or 100
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generate_iiv()
generate_ruv()
- Generate variability terms
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get_dose_update_core()
- Core function to calculate the dose update number for a row in a regimen update data.frame
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get_dose_update_numbers_from_design()
- Get dose number to update dose/interval at from the regime update scheme and a provided regimen.
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get_quantity_from_variable()
- Get quantities from variables in sim results
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get_sampling_time_core()
- Core function to calculate the sampling time for a row in a sampling schema data.frame.
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get_sampling_times_from_scheme()
- Calculate sampling times based on a given sampling schema and a regimen.
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is_on_target()
- Checks if a value (or vector of values) is within the specified target range
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is_single_valid_number()
- Checks that an object represents a single finite number
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map_adjust_dose()
- Adjust doses to achieve a target metric using MAP Bayesian estimation.
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map_adjust_interval()
- Adjust intervals to achieve a target metric using MAP Bayesian estimation by adapting the dosing interval
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mipd_target_types()
- Accepted PK/PD exposure targets
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mipdtrial
mipdtrial-package
- MIPDtrial package
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model_based_starting_dose()
- Model-based starting dose
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round_to_multiple()
- Round to a multiple of any number (e.g. round to the nearest 5, 10, 100)
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sample_and_adjust_by_dose()
- Adjust dosing using MIPD on TDMs at specified dose numbers
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simulate_dose_interval()
- Simulate different doses/intervals in a dose/interval grid
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simulate_fit()
- Get MAP Bayesian parameters
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update_regimen()
- Update a regimen with a new dose