sim.OR: Simulate a dataset with known constant OR
In Larsvanderlaan/causalGLM: Interpretable and robust causal inference for heterogeneous treatment effects using generalized linear models with targeted machine-learning.
sim.OR R Documentation
Simulate a dataset with known constant OR
Description
Simulate a dataset with known constant OR
Usage
sim.OR(
n = 1500,
p = 2,
prop_active = 1,
formula_estimand = ~1,
formula_A = ~.,
formula_Y0W = ~.,
beta = NULL,
beta_A = NULL,
beta_Y = NULL
)
Arguments
n
Sample size
p
Dimension of W
prop_active
Proportion of active (nonzero coef) variables
Larsvanderlaan/causalGLM documentation built on April 14, 2022, 12:51 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| sim.OR | R Documentation |
Simulate a dataset with known constant OR
Description
Simulate a dataset with known constant OR
Usage
sim.OR( n = 1500, p = 2, prop_active = 1, formula_estimand = ~1, formula_A = ~., formula_Y0W = ~., beta = NULL, beta_A = NULL, beta_Y = NULL )
Arguments
n |
Sample size |
p |
Dimension of W |
prop_active |
Proportion of active (nonzero coef) variables |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.