Perform Pharmacokinetic Non-Compartmental Analysis
Confirm that a value is greater than another value
Confirm that a value is greater than another value
Assert that an object is a PKNCAdata object
Support function for AUC integration
Generate functions to do the named function (e.g. mean) applying the b...
Check that the conversion to a data type does not change the number of...
Take in a single row of an interval specification and return that row ...
Check the formatting of a calculation interval specification data fram...
Check the hash of an object to confirm its provenance.
Get the groups (right hand side after the | from a PKNCA object).
Get the independent variable (right hand side of the formula) from a P...
dplyr mutate-based modification for PKNCA
Normalize the exclude column by setting blanks to NA
Convert a formula representation to the columns for input data
Run any function with a maximum missing fraction of X and 0s possibly ...
Calculate amount excreted (typically in urine or feces)
Calculate the AUC above a given concentration
Calculate the (observed oral) clearance
Determine the last observed concentration above the limit of quantific...
Calculate renal clearance
Determine maximum observed PK concentration
Count the number of concentration measurements in an interval
Determine the concentration at the beginning of the interval
Determine the trough (end of interval) concentration
Determine the degree of fluctuation
Determine dose normalized NCA parameter
Calculate the absolute (or relative) bioavailability
Calculate fraction excreted (typically in urine or feces)
Compute the half-life and associated parameters
Calculate the elimination rate (Kel)
Calculate the mean residence time (MRT) for multiple-dose data with no...
Calculate the mean residence time (MRT) for single-dose data or linear...
Determine the peak-to-trough ratio
Create a unit assignment and conversion table
Round a value to a defined number of digits printing out trailing zero...
Add an attribute to an object where the attribute is added as a name t...
Set the duration of dosing or measurement
Set the exclude parameter on an object
Set the dosing route
Round a value to a defined number of significant digits printing out t...
Sort the interval columns by dependencies.
Calculate the weight for sparse AUC calculation with the linear-trapez...
Calculate the mean concentration at all time points for use in sparse ...
Set or get a sparse_pk object attribute
Extract the mean concentration-time profile as a data.frame
Summarize a PKNCAdata object showing important details about the conce...
Verify that concentration measurements are valid
Assert that a value is a dosing interval
Assert that an interval is accurately defined as an interval, and retu...
Assert that a lambda.z value is valid
Choose how to interpolate, extrapolate, or integrate data in each conc...
Extract the formula from a PKNCAconc object.
Compute the geometric mean, sd, and CV
Extract the best model from a list of models using the AIC.
Get the first model from a list of models
Get the columns that can be used in an interval specification
Get all columns that depend on a parameter
Get the impute function from either the intervals column or from the m...
Retrieve the value of an attribute column.
Get the value from a column in a data frame if the value is a column t...
Get the name of the element containing the data for the current object...
Choose intervals to compute AUCs from time and dosing information
Add columns for calculations within PKNCA intervals
Add the imputation column to the intervals, if it is not already there
Add a hash and associated information to enable checking object proven...
Calculate the adjusted r-squared value
Determine if there are any sparse or dense calculations requested with...
Extract the parameter results from a PKNCAresults and return them as a...
Convert an object into a PKNCAconc object
Generate a sparse_pk object
Assert that a value is a valid AUC method
Get the dependent variable (left hand side of the formula) from a PKNC...
Handle BLQ values in the concentration measurements as requested by th...
Handle NA values in the concentration measurements as requested by the...
Calculate the covariance for two time points with sparse sampling
The following functions are defunct
Exclude data points or results from calculations or summarization.
Exclude NCA parameters based on examining the parameter set.
dplyr filtering for PKNCA
Find the repeating interval within a vector of doses
Find the first occurrence of an operator in a formula and return the l...
Perform the half-life fit given the data. The function simply fits the...
dplyr grouping for PKNCA
Get grouping variables for a PKNCA object
dplyr joins for PKNCA
Interpolate concentrations between measurements or extrapolate concent...
Interpolate or extrapolate concentrations using the provided method
Is a PKNCA object used for sparse PK?
Extract the columns used in the formula (in order) from a PKNCAconc or...
Objects exported from other packages
Calculate the AUC over an interval with interpolation and/or extrapola...
Calculate AUC for intravenous dosing
Calculate the AUC percent extrapolated
A compute the Area Under the (Moment) Curve
Estimate the concentration at dosing time for an IV bolus dose.
Calculate the average concentration during an interval.
Determine the concentration at the end of infusion
During the summarization of PKNCAresults, do the rounding of values ba...
Calculate AUC and related parameters using sparse NCA methods
Determine the PK swing
Calculate the effective half-life
Determine time at or above a set value
Determine the observed lag time (time before the first concentration a...
Determine time of last observed concentration above the limit of quant...
Determine time of maximum observed PK concentration
Extract the dose used for calculations
Calculate the steady-state volume of distribution (Vss)
Calculate the terminal volume of distribution (Vz)
Compute all PK parameters for a single concentration-time data set
Compute NCA for multiple intervals
Compute NCA parameters for each interval for each subject.
Clean up the time to steady-state parameters and return a data frame f...
A helper function to estimate individual and single outputs for monoex...
A helper function to estimate population and popind outputs for monoex...
Compute the time to steady state using nonlinear, mixed-effects modeli...
Compute the time to steady-state (tss)
Compute the time to steady state using stepwise test of linear trend
Convert the grouping info and list of results for each group into a re...
Choose either the value from an option list or the current set value f...
Describe a PKNCA.options option by name.
Set default options for PKNCA functions
Compute noncompartmental pharmacokinetics
Define how NCA parameters are summarized.
Find NCA parameters with a given unit type
Separate out a vector of PKNCA imputation methods into a list of funct...
Methods for imputation of data with PKNCA
Perform unit conversion (if possible) on PKNCA results
Add parentheses to a unit value, if needed
Create a PKNCAconc object
Create a PKNCAdata object.
Create a PKNCAdose object
Generate a PKNCAresults object
Print and/or summarize a PKNCAconc or PKNCAdose object.
Print a PKNCAdata object
Print the summary of a provenance object
Print the results summary
Summarize PKNCA results
Compute noncompartmental superposition for repeated dosing
Times relative to an event (typically dosing)
A helper function to generate the formula and starting values for the ...
Calculate the variance for the AUC of sparsely sampled PK
Compute standard Non-Compartmental Analysis (NCA) parameters for typical pharmacokinetic analyses and summarize them.
Useful links