set_prior_distribution: Add prior distribution draws
In CausalQueries: Make, Update, and Query Binary Causal Models
View source: R/set_prior_distribution.R
set_prior_distribution R Documentation
Add prior distribution draws
Description
Add 'n_param x n_draws' database of possible parameter draws to the model.
Usage
set_prior_distribution(model, n_draws = 4000)
Arguments
model
A causal_model. A model object generated by
make_model.
n_draws
A scalar. Number of draws.
Value
An object of class causal_model with the 'prior_distribution'
attached to it.
See Also
Other set:
set_confound(),
set_restrictions()
Examples
make_model('X -> Y') |>
set_prior_distribution(n_draws = 5) |>
inspect("prior_distribution")
CausalQueries documentation built on April 3, 2025, 7:46 p.m.
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View source: R/set_prior_distribution.R
| set_prior_distribution | R Documentation |
Add prior distribution draws
Description
Add 'n_param x n_draws' database of possible parameter draws to the model.
Usage
set_prior_distribution(model, n_draws = 4000)
Arguments
model |
A |
n_draws |
A scalar. Number of draws. |
Value
An object of class causal_model with the 'prior_distribution'
attached to it.
See Also
Other set:
set_confound(),
set_restrictions()
Examples
make_model('X -> Y') |>
set_prior_distribution(n_draws = 5) |>
inspect("prior_distribution")
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.
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