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simmixeddag's Introduction

simMixedDAG

The simMixedDAG package contains functions for simulation of both parametric and non-parametric datasets from DAG models. It also enables calculating average treatment effects in DAG models.

For a "vignette" of sorts see my blog post.

I'm a rather poor progarammer and there's probably plenty of bugs abound.
If you happen to run into trouble please open an issue or consider improving the code.

Kudos to Guangchuang YU for authoring the cool hexSticker package, which makes creating hexagon sticker for your package (like the one on the right) a breeze.

simmixeddag's People

Contributors

bendettasd avatar iyarlin avatar

Stargazers

Lixiao avatar avatar gepr avatar Jean-Paul R. Soucy avatar Peter M. Dahlgren avatar Luke W. Johnston avatar avatar Krzysztof Joachimiak avatar Jan Bours avatar hang.wu avatar Robert Myles McDonnell avatar Tom Palmer avatar Danilo Freire avatar

Watchers

James Cloos avatar Tom Palmer avatar

Forkers

bendettasd-zz guhjy jbdatascience

simmixeddag's Issues

Simulating data error

Hello,
I'm trying to utilize the sim_mixed_dag function to generate data based on a DAG I've created.
However, I'm receiving the following error:

Error in assign(var, eval(parse(text = var)), envir = env) : use of NULL environment is defunct

this error can be replicated after simulating a randomDAG with >9 nodes.
g <- randomDAG(9, 0.35)
param_dag_model <- parametric_dag_model(dag = g) ; sim_data <- sim_mixed_dag(dag_model = param_dag_model,N = 500)
works fine
g <- randomDAG(10, 0.35)
param_dag_model <- parametric_dag_model(dag = g) ; sim_data <- sim_mixed_dag(dag_model = param_dag_model,N = 500)
fails.

As I'm working with a large DAG - any suggestions for how to solve this issue?

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