add_node                Add a 'DAG.node' or a 'DAG.network' object to a
                        'DAG' object
as.dagitty.DAG          Transform a 'DAG' object into a 'dagitty'
                        object
as.igraph.DAG           Transform a 'DAG' object into an 'igraph'
                        object
as_tidy_dagitty.DAG     Transform a 'DAG' object into a 'tidy_dagitty'
                        object
dag2matrix              Obtain a Adjacency Matrix from a 'DAG' object
dag_from_data           Fills a partially specified 'DAG' object with
                        parameters estimated from reference data
do                      Pearls do-operator for 'DAG' objects
empty_dag               Initialize an empty 'DAG' object
long2start_stop         Transform a 'data.table' in the long-format to
                        a 'data.table' in the start-stop format
matrix2dag              Obtain a 'DAG' object from a Adjacency Matrix
                        and a List of Node Types
net                     Specify Network Dependencies in a 'DAG'
network                 Create a network object for a 'DAG'
node                    Create a node object for a 'DAG'
node_aalen              Generate Data from an Aalen Additive Hazards
                        Model
node_binomial           Generate Data from a (Mixed) Binomial
                        Regression Model
node_competing_events   Generate Data with Multiple Mutually Exclusive
                        Events in Discrete-Time Simulation
node_conditional_distr
                        Generate Data by Sampling from Different
                        Distributions based on Strata
node_conditional_prob   Generate Data Using Conditional Probabilities
node_cox                Generate Data from a Cox-Regression Model
node_gaussian           Generate Data from a (Mixed) Linear Regression
                        Model
node_identity           Generate Data based on an expression
node_mixture            Generate Data from a Mixture of Node
                        Definitions
node_multinomial        Generate Data from a Multinomial Regression
                        Model
node_negative_binomial
                        Generate Data from a Negative Binomial
                        Regression Model
node_next_time          Generate the Next Time of an Event in
                        Discrete-Event Simulation
node_poisson            Generate Data from a (Mixed) Poisson Regression
                        Model
node_polr               Generate Data from an Ordered Logistic or
                        Probit Regression
node_rsurv              Generate Data from Parametric Survival Models
node_time_to_event      Generate Data from repeated Bernoulli Trials in
                        Discrete-Time Simulation
node_zeroinfl           Generate Data from a Zero-Inflated Count Model
plot.DAG                Plot a 'DAG' object
plot.simDT              Plot a Flowchart for a Discrete-Time Simulation
rbernoulli              Generate Random Draws from a Bernoulli
                        Distribution
rcategorical            Generate Random Draws from a Discrete Set of
                        Labels with Associated Probabilities
rconstant               Use a single constant value for a root node
rsample                 Sample values from a given vector
rtexp                   Sample values from a left-truncated exponential
                        distribution
sim2data                Transform 'sim_discrete_time' output into the
                        start-stop, long- or wide-format
simDAG-package          Simulate Data from a DAG and Associated Node
                        Information
sim_discrete_event      Simulate Data from a 'DAG' with Time-Dependent
                        Variables in Continuous Time
sim_discrete_time       Simulate Data from a 'DAG' with Time-Dependent
                        Variables in Discrete Time
sim_from_dag            Simulate Data from a 'DAG'
sim_n_datasets          Simulate multiple datasets from a single 'DAG'
                        object
