normalize_optresults_logpost: Normalize the log posterior returned by the optimization
In awstringer1/casecrossover: Approximate Bayesian Inference for Case Crossover Models
Description
Usage
Arguments
Value
View source: R/05-posthoc-quantities.R
Description
Wrapper around normalize_log_posterior() that takes in
the dataframe of optimization results and returns the same dataframe
but with the theta_logposterior column normalized.
Usage
1
normalize_optresults_logpost(optresults)
Arguments
optresults
Optimization results, a tibble() output by optimize_all_thetas_parallel().
Value
Data frame of optimization results with the theta_logposterior column normalized,
i.e. satisfying logSumExp(theta_logposterior) = 0
awstringer1/casecrossover documentation built on March 11, 2021, 4:41 a.m.
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Description Usage Arguments Value
View source: R/05-posthoc-quantities.R
Description
Wrapper around normalize_log_posterior() that takes in the dataframe of optimization results and returns the same dataframe but with the theta_logposterior column normalized.
Usage
1 | normalize_optresults_logpost(optresults)
|
Arguments
optresults |
Optimization results, a tibble() output by optimize_all_thetas_parallel(). |
Value
Data frame of optimization results with the theta_logposterior column normalized, i.e. satisfying logSumExp(theta_logposterior) = 0
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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