get_sigma {pmxTools} | R Documentation |
Extract residual variability parameter estimates from a NONMEM output object.
Description
Extract residual variability parameter estimates from a NONMEM output object.
Usage
get_sigma(x, output = "est", sigdig = 6, sep = "-", est.step = NULL)
Arguments
x |
A NONMEM output object generated using |
output |
A flag specifying the matrix or matrices to be output. Valid flag values are |
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 (https://www.iconplc.com/innovation/nonmem/)
Examples
## Not run:
nmOutput <- read_nm("run315.xml")
sigmas <- get_sigma(nmOutput)
sigmaRSEs <- get_sigma(nmOutput, "rse")
## End(Not run)