getLogLikelihoodEstimationSettings
[Monolix] Get Log-likelihood algorithm settings
Get the log-likelihood estimation settings of the current project. Associated settings are:
nbFixedIterations | (integer > 0) | Monte Carlo size for importance sampling. |
samplingMethod | (character) | |
Should the log-likelihood estimation use a given number of
degrees of freedom ("fixed") or test a sequence of degrees of freedom numbers before choosing the
best one ("optimized"). | nbFreedomDegrees | |
| (integer > 0) | Degree of freedom of the Student's t-distribution.
Used only if "samplingMethod" is "fixed". | |
freedomDegreesSampling | (vector 0>) | Sequence of degrees of freedom
of the Student's t-distribution to be tested. Used only if "samplingMethod" is "optimized". |
Usage
R
getLogLikelihoodEstimationSettings(...)Arguments
- ...
[optional] (character) Name of the settings whose value should be returned. If no argument is provided, all the settings are returned.
Value
A list with each setting name mapped to its current value.
See also
Examples
R
initializeLixoftConnectors("monolix")
loadProject(file.path(getDemoPath(), "1.creating_and_using_models", "1.1.libraries_of_models", "theophylline_project.mlxtran"))
# retrieve a list of all the loglikelihood estimation settings
getLogLikelihoodEstimationSettings()
#> $nbfixediterations
#> [1] 10000
#>
#> $nbfreedomdegrees
#> [1] 5
#>
#> $freedomdegreessampling
#> [1] 1 2 5 10 15
#>
#> $samplingmethod
#> [1] "fixed"
#>
# retrieve only certain settings values
getLogLikelihoodEstimationSettings("nbFixedIterations", "samplingMethod")
#> $nbfixediterations
#> [1] 10000
#>
#> $samplingmethod
#> [1] "fixed"
#>