Arm                     Create a treatment arm.
Bolus                   Create one or several bolus(es).
Bootstrap               Create a bootstrap object.
BootstrapDistribution   Create a bootstrap distribution. During
                        function sampling, CAMPSIS will generate values
                        depending on the given data and arguments.
ConstantDistribution    Create a constant distribution. Its value will
                        be constant across all generated samples.
Covariate               Create a non time-varying (fixed) covariate.
Dataset                 Create a dataset.
DatasetConfig           Create a dataset configuration. This
                        configuration allows CAMPSIS to know which are
                        the default depot and observed compartments.
DiscreteDistribution    Discrete distribution.
DoseAdaptation          Create a dose adaptation.
EtaDistribution         Create an ETA distribution. The resulting
                        distribution is a normal distribution, with
                        mean=0 and sd=sqrt(OMEGA).
Event                   Create an interruption event.
EventCovariate          Create an event covariate. These covariates can
                        be modified further in interruption events.
Events                  Create a list of interruption events.
FixedDistribution       Create a fixed distribution. Each sample will
                        be assigned a fixed value coming from vector
                        'values'.
FunctionDistribution    Create a function distribution. During
                        distribution sampling, the provided function
                        will be responsible for generating values for
                        each sample. If first argument of this function
                        is not the size (n), please tell which argument
                        corresponds to the size 'n' (e.g.
                        list(size="n")).
IOV                     Define inter-occasion variability (IOV) into
                        the dataset. A new variable of name 'colname'
                        will be output into the dataset and will vary
                        at each dose number according to the given
                        distribution.
Infusion                Create one or several infusion(s).
LogNormalDistribution   Create a log normal distribution.
NormalDistribution      Create a normal distribution.
Observations            Create an observations list. Please note that
                        the provided 'times' will automatically be
                        sorted. Duplicated times will be removed.
Occasion                Define a new occasion. Occasions are defined by
                        mapping occasion values to dose numbers. A new
                        column will automatically be created in the
                        exported dataset.
PI                      Compute the prediction interval summary over
                        time.
ParameterDistribution   Create a parameter distribution. The resulting
                        distribution is a log-normal distribution, with
                        meanlog=log(THETA) and sdlog=sqrt(OMEGA).
Scenario                Create an scenario.
Scenarios               Create a list of scenarios.
TimeVaryingCovariate    Create a time-varying covariate. This covariate
                        will be implemented using EVID=2 rows in the
                        exported dataset and will not use interruption
                        events.
UniformDistribution     Create an uniform distribution.
VPC                     Compute the VPC summary. Input data frame must
                        contain the following columns: - replicate:
                        replicate number - low: low percentile value in
                        replicate (and in scenario if present) - med:
                        median value in replicate (and in scenario if
                        present) - up: up percentile value in replicate
                        (and in scenario if present) - any scenario
                        column
applyCompartmentCharacteristics
                        Apply compartment characteristics from model.
                        In practice, only compartment infusion duration
                        needs to be applied.
arm-class               Arm class.
arms-class              Arms class.
bolus-class             Bolus class.
bootstrap-class         Bootstrap class.
bootstrap_distribution-class
                        Bootstrap distribution class.
constant_distribution-class
                        Constant distribution class.
covariate-class         Covariate class.
covariates-class        Covariates class.
dataset-class           Dataset class.
dataset_config-class    Dataset configuration class.
distribution-class      Distribution class. See this class as an
                        interface.
dose_adaptation-class   Dose adaptation class.
dose_adaptations-class
                        Dose adaptations class.
dosingOnly              Filter CAMPSIS output on dosing rows.
event-class             Event class.
event_covariate-class   Event covariate class.
events-class            Events class.
fixed_covariate-class   Fixed covariate class.
fixed_distribution-class
                        Fixed distribution class.
function_distribution-class
                        Function distribution class.
generateIIV             Generate IIV.
getCovariates           Get all covariates (fixed / time-varying /
                        event covariates).
getEventCovariates      Get all event-related covariates.
getFixedCovariates      Get all fixed covariates.
getIOVs                 Get all IOV objects.
getOccasions            Get all occasions.
getSeedForDatasetExport
                        Get seed for dataset export.
getSeedForIteration     Get seed for iteration.
getSeedForParametersSampling
                        Get seed for parameter uncertainty sampling.
getTimeVaryingCovariates
                        Get all time-varying covariates.
getTimes                Get all distinct times for the specified
                        object.
infusion-class          Infusion class.
length,arm-method       Return the number of subjects contained in this
                        arm.
length,dataset-method   Return the number of subjects contained in this
                        dataset.
mrgsolve_engine-class   mrgsolve engine class.
obsOnly                 Filter CAMPSIS output on observation rows.
observations-class      Observations class.
observations_set-class
                        Observations set class.
occasion-class          Occasion class.
occasions-class         Occasions class.
protocol-class          Protocol class.
retrieveParameterValue
                        Retrieve the parameter value (standardized) for
                        the specified parameter name.
rxode_engine-class      RxODE engine class.
sample                  Sample generic object.
scenario-class          Scenario class.
scenarios-class         Scenarios class.
setLabel                Set the label.
setSubjects             Set the number of subjects.
shadedPlot              Shaded plot (or prediction interval plot).
simulate                Simulate function.
simulation_engine-class
                        Simulation engine class.
spaghettiPlot           Spaghetti plot.
time_varying_covariate-class
                        Time-varying covariate class.
treatment-class         Treatment class.
treatment_iov-class     Treatment IOV class.
treatment_iovs-class    Treatment IOV's class.
undefined_distribution-class
                        Undefined distribution class. This type of
                        object is automatically created in method
                        toExplicitDistribution() when the user does not
                        provide a concrete distribution. This is
                        because S4 objects do not accept NULL values.
vpcPlot                 VPC plot.
