Certara.RsNLME (version 3.1.0.1)

shotgunSearch: Executes an NLME shotgun covariate search

Description

Executes an NLME shotgun covariate search

Usage

shotgunSearch(
  model,
  hostPlatform = NULL,
  params,
  covariateModel,
  runInBackground = FALSE,
  ...
)

Value

if runInBackground = FALSE, a data frame is returned with shotgun (all combinations given the covariate model) search results, i.e. "Overall" comma separated file. Otherwise the ShotgunNlmeJob class object is returned.

Arguments

model

PK/PD model class object.

hostPlatform

Host definition for model execution. See hostParams. If missing, multicore local host with 4 threads is used.

params

Engine parameters. See engineParams. If missing, default parameters generated by engineParams(model) are used.

covariateModel

Covariate Effects Model providing the relationship between covariates and structural parameters to test (covariateModel(model)).

runInBackground

Set to TRUE to run in background and return prompt.

...

Additional arguments for hostParams or arguments available inside engineParams functions. If engineParams arguments are supplied through both params argument and additional argument (i.e., ellipsis), then the arguments in params will be ignored and only the additional arguments will be used with warning. If hostParams arguments are supplied through both the hostPlatform argument and the ellipses, values supplied to hostPlatform will be overridden by additional arguments supplied via the ellipses e.g., ....

See Also

hostParams, engineParams

Examples

if (FALSE) {
# Define the model
model <- pkmodel(numCompartments = 2,
                 data = pkData,
                 ID = "Subject",
                 Time = "Act_Time",
                 A1 = "Amount",
                 CObs = "Conc",
                 workingDir = tempdir())

# Add Gender covariate of type categorical
model <- addCovariate(model,
                      covariate = "Gender",
                      type = "Categorical",
                      effect = c("V2", "Cl2"),
                      levels = c(0, 1),
                      labels = c("Female", "Male"))

# Add Bodyweight covariate of type continuous
model <- addCovariate(model,
             covariate = "BodyWeight",
             type = "Continuous",
             direction = "Backward",
             center = "Mean",
             effect = c("V", "Cl"))

# Define the host
host <- hostParams(parallelMethod = "MULTICORE",
                   hostName = "local",
                   numCores = 8,
                   sharedDirectory = tempdir())

# Define the engine parameters
params <- engineParams(model, fastOptimization = TRUE, numIterations = 7)

# Define covariate model
cp <- covariateModel(model)

# Perform shotgun search
OverallDF <-  shotgunSearch(model = model,
                            hostPlatform = host,
                            params = params,
                            covariateModel = cp,
                            runInBackground = FALSE)
}