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getEstimatedRandomEffects

Get the random effects for each subject of the individual parameters present within the current project.
WARNING: Estimated random effects are not available until the individual estimation algorithm has been run. Please call getLaunchedTasks to get a list of the methods whose results are available.
The user can choose to display only the random effects estimated with a specific method.
NOTE: The random effects are defined in the gaussian referential, e.g. if ka is lognormally distributed around ka_pop, eta_i = log(ka_i)-log(ka_pop)
Existing individual estimation methods :

"saem"Approximation of the conditional mean estimated by SAEM
"conditionalMean"Mean of the conditional distribution estimated by the Conditional Distribution task
"conditionalMode"Mean of the conditional distribution estimated by the EBEs task

Usage

R
getEstimatedRandomEffects(..., method = "")

Arguments

...

(character) Name of the individual parameters whose random effects must be displayed. Call getIndividualParameterModel to get a list of the individual parameters present within the current project.

method

[optional](character) A value among "saem", "conditionalMean" or "conditionalMode": the individual parameter estimation method whose results should be displayed. If this field is not specified, the results provided by all the methods used during the last scenario run are displayed.

Value

A list of dataframes giving, for each requested method, the last estimated random effects values of the individual parameters of interest for each subject, with the corresponding standard deviation values for the "conditionalMean" method.

Examples

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