setLogLikelihoodEstimationSettings

[Monolix] Set log-likelihood estimation settings

Set the value of the log-likelihood estimation settings for 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

setLogLikelihoodEstimationSettings(...)

Arguments

... A collection of comma-separated pairs (settingName = settingValue).

See also

getLogLikelihoodEstimationSettings

Examples

R

initializeLixoftConnectors("monolix")
loadProject(file.path(getDemoPath(), "1.creating_and_using_models", "1.1.libraries_of_models", "theophylline_project.mlxtran"))

setLogLikelihoodEstimationSettings(nbFixedIterations = 20000)
getLogLikelihoodEstimationSettings()
#> $nbfixediterations
#> [1] 20000
#> 
#> $nbfreedomdegrees
#> [1] 5
#> 
#> $freedomdegreessampling
#> [1]  1  2  5 10 15
#> 
#> $samplingmethod
#> [1] "fixed"
#>