pool_inferences: Combine Multiple Imputations
In burrisk/midamix: Bayesian multiple imputation via mixtures
Description
Usage
Arguments
Value
Description
Pools inferences for regression coefficients for linear models and generalized linear
models.
Usage
1
pool_inferences(model_fits, by_significance = FALSE)
Arguments
model_fits
An object returned by the function fit_model
by_significance
Should the p-values be ordered in ascending order?
Value
A tibble with inferences obtained by multiple imputation combining rules.
burrisk/midamix documentation built on June 1, 2019, 12:49 p.m.
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Description Usage Arguments Value
Description
Pools inferences for regression coefficients for linear models and generalized linear models.
Usage
1 | pool_inferences(model_fits, by_significance = FALSE)
|
Arguments
model_fits |
An object returned by the function |
by_significance |
Should the p-values be ordered in ascending order? |
Value
A tibble with inferences obtained by multiple imputation combining rules.
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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