get_sigma: Extract residual variability parameter estimates from a...

Description Usage Arguments Value Author(s) See Also Examples

Description

Extract residual variability parameter estimates from a NONMEM output object.

Usage

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get_sigma(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).

Value

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

est returns the estimated SIGMA variance-covariance matrix. se returns the standard errors for the estimated SIGMA variance-covariance matrix. rse returns the relative standard errors for the estimated SIGMA 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 SIGMA variance-covariance matrix (est +/- 1.96*se). all returns all available SIGMA matrices.

Author(s)

Justin Wilkins, justin.wilkins@occams.com

See Also

NONMEM (http://www.iconplc.com/innovation/nonmem/)

Examples

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## Not run: 
 nmOutput <- read_nm("run315.xml")
 sigmas   <- get_sigma(nmOutput)
 sigmaRSEs <- get_sigma(nmOutput, "rse")

## End(Not run)

pmxTools documentation built on Aug. 27, 2020, 1:10 a.m.