| 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... |
| 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'... |
| matrix2dag | Obtain a 'DAG' object from a Adjacency Matrix and a List of... |
| 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... |
| node_conditional_distr | Generate Data by Sampling from Different Distributions based... |
| 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... |
| node_poisson | Generate Data from a (Mixed) Poisson Regression Model |
| node_rsurv | Generate Data from Parametric Survival Models |
| node_time_to_event | Generate Data from repeated Bernoulli Trials in Discrete-Time... |
| 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... |
| 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,... |
| simDAG | Simulate Data from a DAG and Associated Node Information |
| sim_discrete_event | Simulate Data from a 'DAG' with Time-Dependent Variables in... |
| sim_discrete_time | Simulate Data from a 'DAG' with Time-Dependent Variables in... |
| sim_from_dag | Simulate Data from a 'DAG' |
| sim_n_datasets | Simulate multiple datasets from a single 'DAG' object |
