Package index • simDAG

All functions

add_node() `+`(<DAG>): Add a DAG.node object to a DAG object

as.igraph(<DAG>): Transform a DAG object into an igraph 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

node() node_td(): Create a node object to grow a DAG step-by-step

node_binomial(): Simulate a Node Using Logistic Regression

node_competing_events(): Simulate a Time-to-Event Node with Multiple Mutually Exclusive Events in Discrete-Time Simulation

node_conditional_distr(): Simulate a Node by Sampling from Different Distributions based on Strata

node_conditional_prob(): Simulate a Node Using Conditional Probabilities

node_cox(): Simulate a Node Using Cox-Regression

node_custom: Create Your Own Function to Simulate a Root Node, Child Node or Time-Dependent Node

node_gaussian(): Simulate a Node Using Linear Regression

node_multinomial(): Simulate a Node Using Multinomial Regression

node_negative_binomial(): Simulate a Node Using Negative Binomial Regression

node_poisson(): Simulate a Node Using Poisson Regression

node_time_to_event(): Simulate a Time-to-Event Node in Discrete-Time Simulation

plot(<DAG>): Plot a DAG object

plot(<simDT>): Create a Simple 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

sim2data() as.data.table(<simDT>) as.data.frame(<simDT>): 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_time(): Using Discrete-Time Simulation to Generate Complex Data from a Given DAG and Node Information

sim_from_dag(): Simulate Data from a Given DAG and Node Information

sim_n_datasets(): Generate multiple datasets from a single DAG object