get_omega: Extract variability parameter estimates from a NONMEM output...

In pmxTools: Pharmacometric and Pharmacokinetic Toolkit

Extract variability parameter estimates from a NONMEM output object.

Description

Extract variability parameter estimates from a NONMEM output object.

Usage

get_omega(x, output = "est", sigdig = 6, sep = "-", est.step = NULL)

Arguments

x	A NONMEM output object generated using read_nm.
output	A flag specifying the matrix or matrices to be output. Valid flag values are est (the default), se, rse, cor, cse, 95ci, or all.
sigdig	Specifies the number of significant digits to be provided (default=6).
sep	Specifies the separator character to use for 95% confidence intervals (default="-").
est.step	Specifies which estimation step to return parameters from (default is the last).

Details

Output options are as follows:

• est returns the estimated OMEGA variance-covariance matrix.

• se returns the standard errors for the estimated OMEGA variance-covariance matrix.

• rse returns the relative standard errors for the estimated OMEGA variance-covariance matrix (se/est*100).

• cor returns the correlation matrix matrix.

• cse returns the standard errors for the correlation matrix.

• 95ci returns the asymptotic 95% confidence intervals for the elements of the OMEGA variance-covariance matrix (⁠est +/- 1.96*se⁠).

• all returns all available OMEGA matrices.

Value

A symmetrical matrix, or a list of symmetrical matrices if all is specified.

Author(s)

Justin Wilkins, [e-mail]

See Also

NONMEM (https://www.iconplc.com/solutions/technologies/nonmem)

Examples

## Not run: 
 nmOutput  <- read_nm("run315.xml")
 omegas    <- get_omega(nmOutput)
 omegaRSEs <- get_omega(nmOutput, "rse")

## End(Not run)

pmxTools documentation built on Aug. 25, 2025, 5:12 p.m.