derive_bayesian_logistic_regression_preds: Derive Bayesian logistic regression predictionsgiven...
In bramzandbelt/irmass: Independent Race Model Analysis of Selective Stopping
Description
Derive Bayesian logistic regression predictionsgiven best-fitting parameters
Usage
1
derive_bayesian_logistic_regression_preds(tibb, scaled_t_ds)
Arguments
tibb
Tibble containing columns subject identifier (subjectIx), best-fitting parameters (mean_beta0, mean_beta), and Bayes factor (B)
bramzandbelt/irmass documentation built on June 28, 2019, 9:07 p.m.
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Description
Derive Bayesian logistic regression predictionsgiven best-fitting parameters
Usage
1 | derive_bayesian_logistic_regression_preds(tibb, scaled_t_ds)
|
Arguments
tibb |
Tibble containing columns subject identifier (subjectIx), best-fitting parameters (mean_beta0, mean_beta), and Bayes factor (B) |
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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