parse_cov: Parse a covariance table to useful matrices
In FelicienLL/uncrtnty: Useful R functions to deal with uncertainty in NONMEM analyses
View source: R/parse_nmoutput.R
parse_cov R Documentation
Parse a covariance table to useful matrices
Description
Parse a covariance table to useful matrices
Usage
parse_cov(tab)
Arguments
tab
a covariance table from NONMEM
Value
a list with the variance-covariance matrix of estimation of 'THETA', and the matrices of the standard errors of every elements of the 'OMEGA'/'SIGMA' matrices.
Examples
x <- readRDS(system.file("xposerun", "xpdb_ex_pk.rds", package = "uncrtnty"))
cov <- x$files$data[x$files$extension=="cov"][[1]]
parse_cov(cov)
FelicienLL/uncrtnty documentation built on Oct. 26, 2023, 12:50 p.m.
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View source: R/parse_nmoutput.R
| parse_cov | R Documentation |
Parse a covariance table to useful matrices
Description
Parse a covariance table to useful matrices
Usage
parse_cov(tab)
Arguments
tab |
a covariance table from NONMEM |
Value
a list with the variance-covariance matrix of estimation of 'THETA', and the matrices of the standard errors of every elements of the 'OMEGA'/'SIGMA' matrices.
Examples
x <- readRDS(system.file("xposerun", "xpdb_ex_pk.rds", package = "uncrtnty"))
cov <- x$files$data[x$files$extension=="cov"][[1]]
parse_cov(cov)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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