AIC.list                Assess the AIC for all models in a list of
                        models
PKNCA                   Compute noncompartmental pharmacokinetics
PKNCA.choose.option     Choose either the value from an option list or
                        the current set value for an option.
PKNCA.options           Set default options for PKNCA functions
PKNCA.set.summary       Define how NCA parameters are summarized.
PKNCAconc               Create a PKNCAconc object
PKNCAdata               Create a PKNCAdata object.
PKNCAdose               Create a PKNCAdose object
PKNCAresults            Generate a PKNCAresults object
add.interval.col        Add columns for calculations within PKNCA
                        intervals
adj.r.squared           Calculate the adjusted r-squared value
as.data.frame.PKNCAresults
                        Extract the parameter results from a
                        PKNCAresults and return them as a data frame.
business.mean           Generate functions to do the named function
                        (e.g. mean) applying the business rules.
check.conc.time         Verify that the concentration and time are
                        valid
check.conversion        Check that the conversion to a data type does
                        not change the number of NA values
check.interval.deps     Take in a single row of an interval
                        specification and return that row updated with
                        any additional calculations that must be done
                        to fulfil all dependencies.
check.interval.specification
                        Check the formatting of a calculation interval
                        specification data frame.
choose.auc.intervals    Choose intervals to compute AUCs from time and
                        dosing information
clean.conc.blq          Handle BLQ values in the concentration
                        measurements as requested by the user.
clean.conc.na           Handle NA values in the concentration
                        measurements as requested by the user.
count.non.missing       Count the number of values that are not NA
find.tau                Find the repeating interval within a vector of
                        doses
findOperator            Find the first occurrence of an operator in a
                        formula and return the left, right, or both
                        sides of the operator.
formula.PKNCAconc       Extract the formula from a PKNCAconc object.
formula.parseFormula    Convert the parsed formula back into the
                        original
geomean                 Compute the geometric mean, sd, and CV
get.best.model          Extract the best model from a list of models
                        using AIC.list.
get.first.model         Get the first model from a list of models
get.interval.cols       Get the columns that can be used in an interval
                        specification
getData.PKNCAconc       Extract all the original data from a PKNCAconc
                        or PKNCAdose object
getDepVar               Get the dependent variable (left hand side of
                        the formula) from a PKNCA object.
getGroups.PKNCAconc     Get the groups (right hand side after the '|'
                        from a PKNCA object.
getIndepVar             Get the independent variable (right hand side
                        of the formula) from a PKNCA object.
interp.extrap.conc      Interpolate concentrations between measurements
                        or extrapolate concentrations after the last
                        measurement.
merge.splitByData       Merge lists of data to make a list of lists.
model.frame.PKNCAconc   Extract the columns used in the formula (in
                        order) from a PKNCAconc or PKNCAdose object.
parseFormula            Parse a formula into its component parts.
pk.business             Run any function with a maximum missing
                        fraction of X and 0s possibly counting as
                        missing.  The maximum fraction missing comes
                        from 'PKNCA.options("max.missing")'.
pk.calc.aucpext         Calculate the AUC percent extrapolated
pk.calc.auxc            A compute the Area Under the (Moment) Curve
pk.calc.c0              Estimate the concentration at dosing time for
                        an IV bolus dose.
pk.calc.cav             Calculate the average concentration during an
                        interval.
pk.calc.cl              Calculate the (observed oral) clearance
pk.calc.clast.obs       Determine the last observed concentration above
                        the limit of quantification (LOQ).
pk.calc.cmax            Determine maximum observed PK concentration
pk.calc.ctrough         Determine the trough (predose) concentration
pk.calc.f               Calculate the absolute (or relative)
                        bioavailability
pk.calc.half.life       Compute the half-life and associated parameters
pk.calc.kel             Calculate the elimination rate (Kel)
pk.calc.mrt             Calcuate the mean residence time (MRT)
pk.calc.ptr             Determine the peak-to-trough ratio
pk.calc.thalf.eff       Calculate the effective half-life
pk.calc.tlag            Determine the observed lag time (time before
                        the first concentration above the limit of
                        quantification or above the first concentration
                        in the interval)
pk.calc.tlast           Determine time of last observed concentration
                        above the limit of quantification.
pk.calc.tmax            Determine time of maximum observed PK
                        concentration
pk.calc.vd              Calculate the volume of distribution (Vd) or
                        observed volume of distribution (Vd/F)
pk.calc.vss             Calculate the steady-state volume of
                        distribution (Vss)
pk.calc.vz              Calculate the terminal volume of distribution
                        (Vz)
pk.nca                  Compute NCA parameters for each interval for
                        each subject.
pk.nca.interval         Compute all PK parameters for a single
                        concentration-time data set
pk.tss                  Compute the time to steady-state (tss)
pk.tss.data.prep        Clean up the time to steady-state parameters
                        and return a data frame for use by the tss
                        calculators.
pk.tss.monoexponential
                        Compute the time to steady state using
                        nonlinear, mixed-effects modeling of trough
                        concentrations.
pk.tss.monoexponential.individual
                        A helper function to estimate individual and
                        single outputs for monoexponential time to
                        steady-state.
pk.tss.monoexponential.population
                        A helper function to estimate population and
                        popind outputs for monoexponential time to
                        steady-state.
pk.tss.stepwise.linear
                        Compute the time to steady state using stepwise
                        test of linear trend
plot.PKNCAconc          Plot a PKNCAconc object
print.PKNCAconc         Print and/or summarize a PKNCAconc or PKNCAdose
                        object.
print.PKNCAdata         Print a PKNCAdata object
roundString             Round a value to a defined number of digits
                        printing out trailing zeros, if applicable.
roundingSummarize       During the summarization of PKNCAresults, do
                        the rounding of values based on the
                        instructions given.
sapplyBy                Similar to lapplyBy but returning a data frame
signifString            Round a value to a defined number of
                        significant digits printing out trailing zeros,
                        if applicable.
sort.interval.cols      Sort the interval columns by dependencies.
summary.PKNCAdata       Summarize a PKNCAdata object showing important
                        details about the concentration, dosing, and
                        interval information.
summary.PKNCAresults    Summarize PKNCA results
superposition           Compute noncompartmental superposition for
                        repeated dosing
tss.monoexponential.generate.formula
                        A helper function to generate the formula and
                        starting values for the parameters in
                        monoexponential models.
