add_node | 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... |
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... |
node | Create a node object for a 'DAG' |
node_binomial | Generate Data from a (Mixed) Logistic 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_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 | 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... |
rconstant | Use a single constant value for a root node |
sim2data | Transform 'sim_discrete_time' output into the start-stop,... |
simDAG | Simulate Data from a DAG and Associated Node Information |
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 |
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