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

setLogLikelihoodEstimationSettings

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"
#>