select_best_em_run: Select best EM run
In timothy-barry/glmeiv: Implements the GLM-EIV model and method
View source: R/at_scale_em_algo_functs.R
select_best_em_run R Documentation
Select best EM run
Description
Returns the best run, defined as the run with m_perturbation in a reasonable range and
greatest log-likelihood.
Usage
select_best_em_run(em_runs, m_perturbation_range = c(log(0.1), log(2)))
Arguments
em_runs
a list of outputs of run_em_algo_given_init
m_perturbation_range
range of acceptable values for m_perturbation
Value
the best run of the list
timothy-barry/glmeiv documentation built on Jan. 30, 2024, 3:46 p.m.
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View source: R/at_scale_em_algo_functs.R
| select_best_em_run | R Documentation |
Select best EM run
Description
Returns the best run, defined as the run with m_perturbation in a reasonable range and greatest log-likelihood.
Usage
select_best_em_run(em_runs, m_perturbation_range = c(log(0.1), log(2)))
Arguments
em_runs |
a list of outputs of run_em_algo_given_init |
m_perturbation_range |
range of acceptable values for m_perturbation |
Value
the best run of the list
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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