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simDAG
View on CRAN: Click
here
Download and install simDAG package within the R console
Install from CRAN:
install.packages("simDAG")
Install from Github:
library("remotes")
install_github("cran/simDAG")
Install by package version:
library("remotes")
install_version("simDAG", "0.2.0")
Attach the package and use:
library("simDAG")
Maintained by
Robin Denz
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-28
Latest Update: 2023-08-28
Description:
Simulate complex data from a given directed acyclic graph and information about each individual node. Root nodes are simply sampled from the specified distribution. Child Nodes are simulated according to one of many implemented regressions, such as logistic regression, linear regression, poisson regression and more. Also includes a comprehensive framework for discrete-time simulation, which can generate even more complex longitudinal data.
How to cite:
Robin Denz (2023). simDAG: Simulate Data from a DAG and Associated Node Information. R package version 0.2.0, https://cran.r-project.org/web/packages/simDAG. Accessed 22 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for simDAG
Functions, R codes and Examples using
the simDAG R package
Some associated functions: add_node . dag2matrix . dag_from_data . do . empty_dag . long2start_stop . matrix2dag . node . node_binomial . node_competing_events . node_conditional_distr . node_conditional_prob . node_cox . node_custom . node_gaussian . node_multinomial . node_negative_binomial . node_poisson . node_time_to_event . plot.DAG . plot.simDT . rbernoulli . rcategorical . rconstant . sim2data . simDAG . sim_discrete_time . sim_from_DAG .
Some associated R codes: Full simDAG package functions and examples
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