Simulate Data from a DAG and Associated Node Information

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Documentation for package ‘simDAG’ version 0.3.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

simDAG-package	Simulate Data from a DAG and Associated Node Information
+.DAG	Add a 'DAG.node' object to a 'DAG' object
add_node	Add a 'DAG.node' object to a 'DAG' object
as.data.frame.simDT	Transform 'sim_discrete_time' output into the start-stop, long- or wide-format
as.data.table.simDT	Transform 'sim_discrete_time' output into the start-stop, long- or wide-format
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	Create a node object for a 'DAG'
node_aftreg	Generate Data from Parametric Survival Models
node_ahreg	Generate Data from Parametric Survival Models
node_binomial	Generate Data from a (Mixed) Logistic 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_ehreg	Generate Data from Parametric Survival Models
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_poisson	Generate Data from a (Mixed) Poisson Regression Model
node_poreg	Generate Data from Parametric Survival Models
node_rsurv	Generate Data from Parametric Survival Models
node_td	Create a node object for a 'DAG'
node_time_to_event	Generate Data from repeated Bernoulli Trials in Discrete-Time Simulation
node_ypreg	Generate Data from Parametric Survival Models
node_zeroinfl	Simulate a Node Using 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
sim2data	Transform 'sim_discrete_time' output into the start-stop, long- or wide-format
sim_discrete_time	Simulate Data from a 'DAG' with Time-Dependent Variables
sim_from_dag	Simulate Data from a 'DAG'
sim_n_datasets	Simulate multiple datasets from a single 'DAG' object