| getPopulationParameterInformation | Get the name, the initial value, the estimation method and, if relevant, MAP parameters value of the population parameters present in the project. |
| setInitialEstimatesToLastEstimates | Set the initial value of all the population parameters present within the current project (fixed effects + individual variances + error model parameters) to the ones previously estimated. |
| setPopulationParameterInformation | Set the initial value, the estimation method and, if relevant, the MAP parameters of one or several of the population parameters present within the current project (fixed effects + individual variances + error model parameters). |
Get population parameters information
Description
Get the name, the initial value, the estimation method and, if relevant, MAP parameters value of the population parameters present in the project.
It is available for fixed effects, random effects, error model parameters, and latent covariates probabilities.
Usage
getPopulationParameterInformation()
Value
A data frame giving, for each population parameter, the corresponding :
- initialValue : (double) initial value
- method : (string) estimation method
- priorValue : (double) [MAP] typical value
- priorSD : (double) [MAP] standard deviation
See Also
setPopulationParameterInformation
Click here to see examples
## Not run:
info = getPopulationParameterInformation()
info
name initialValue method typicalValue stdDeviation
ka_pop 1.0 MLE NA NA
V_pop 10.0 MAP 10.0 0.5
omega_ka 1.0 FIXED NA NA
## End(Not run)
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Initialize population parameters with the last estimated ones
Description
Set the initial value of all the population parameters present within the current project (fixed effects + individual variances + error model parameters) to the ones previously estimated.
These the values will be used in the population parameter estimation algorithm during the next scenario run.
WARNING: If there is any set after a run, it will not be possible to set the initial values as the structure of the project has changed since last results.
Usage
setInitialEstimatesToLastEstimates()
See Also
getEstimatedPopulationParameters getPopulationParameterInformation
Click here to see examples
## Not run:
setInitialEstimatesToLastEstimates()
## End(Not run)
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Population parameters initialization and estimation method
Description
Set the initial value, the estimation method and, if relevant, the MAP parameters of one or several of the population parameters present within the current project (fixed effects + individual variances + error model parameters).
Available methods are:
- “FIXED”: Fixed
- “MLE”: Maximum Likelihood Estimation
- “MAP”: Maximum A Posteriori
Call getPopulationParameterInformation to get a list of the initializable population parameters present within the current project.
Usage
setPopulationParameterInformation(...)
Arguments
…
A list of comma-separated pairs {paramName = list( initialValue = (double), method = (string)”method”}.
In case of “MAP” method, the user can specify the associated typical value and standard deviation values by using an additional list elements {paramName = list( priorValue = (double)1, priorSD = (double)2 )}.
By default, the prior value corresponds to the the population parameter and the prior standard deviation is set to 1.
See Also
getPopulationParameterInformation
Click here to see examples
## Not run:
setPopulationParameterInformation(Cl_pop = list(initialValue = 0.5, method = “FIXED”), V_pop = list(intialValue = 1), ka_pop = list( method = “MAP”, priorValue = 1.5, priorSD = 0.25 ) )
## End(Not run)
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