linearmodel: Create linear model

In Certara.RsNLME: Pharmacometric Modeling

Create linear model

Description

Use to create a constant, linear, or quadratic PD model

Usage

linearmodel(
  isPopulation = TRUE,
  type = "Constant",
  data = NULL,
  columnMap = TRUE,
  modelName = "",
  workingDir = "",
  ...
)

Arguments

isPopulation	Is this a population model TRUE or individual model FALSE?
type	Model type. Options are "Constant", "Linear", "Quadratic".
data	Input dataset
columnMap	If TRUE (default) column mapping arguments are required. Set to FALSE to manually map columns after defining model using colMapping.
modelName	Model name for subdirectory created for model output in current working directory.
workingDir	Working directory to run the model. Current working directory will be used if workingDir not specified.
...	Arguments passed on to linearmodel_MappingParameters ID Column mapping argument for input dataset column(s) that identify individual data profiles. Only applicable to population models isPopulation = TRUE. C Column mapping argument that represents the input dataset column for the independent variable that is treated as a covariate during the estimation/simulation process. EObs Column mapping argument that represents the input dataset column for the observed drug effect (i.e., the dependent variable).

Value

NlmePmlModel object

Column mapping

Note that quoted and unquoted column names are supported. Please see colMapping.

Examples

model <- linearmodel(type = "Linear", data = pkpdData, ID = "ID", C = "CObs", EObs = "EObs")

# View PML Code
print(model)

Certara.RsNLME documentation built on April 3, 2025, 11:04 p.m.