Observation.Rd
This function creates a new instance of Observation object and validates it.
A character string giving the name of the Observation.
a Sigmas class instance or a list specifying the chosen sigma values for different error models. 0s are treated as no values. Inside Observation class it is transormed and kept as Sigmas class. The list could contain the following error models:
Additive The additive error sigma value.
LogAdditive The log-additive error sigma value.
Proportional The proportional error sigma value.
AdditiveMultiplicative A numeric vector specifying the additive and multiplicative parts
for the additive-multiplicative error model. The vector should have names
PropPart
and AddPart
.
MixRatio A numeric vector specifying the proportional and additive parts for the mix-ratio
error model. The vector should have names PropPart
and AddPart
.
Power A numeric vector specifying the standard deviation and power parts for the power error model.
The vector should have names StdevPart
and PowerPart
.
A logical value indicating whether the dataset contains BQL values and they should be taken into account (M3 method).
An optional numeric positive value of static LLOQ. Applicable
only when BQL argument is TRUE
. Any observed value less than or equal to
that LLOQ value is treated as censored.
A logical value indicating if the standard deviation (Stdev) is frozen.
A logical value indicating if the Observation variable should
be reset to 0 after observation (doafter={A0=0;}
). Applicable for
elimination compartment.
Character specifying the name of PML structure in which
the observation should be added. For the naming convention of
PMLStructures, see Details section of get_PMLParametersSets()
.
A new Observation object
Functions used for Observation specification:
Sigmas()
,
get_PMLParametersSets()
,
modify_Observation()
,
remove_Observation()