| xpose_data_nlmixr2 {xpose.nlmixr2} | R Documentation | 
Import nlmixr2 output into xpose object
Description
Convert 'nlmixr2' model output into an 'xpose' database.
Usage
xpose_data_nlmixr2(
  obj = NULL,
  pred = NULL,
  wres = NULL,
  gg_theme = theme_readable(),
  xp_theme = theme_xp_default(),
  quiet,
  skip = NULL,
  ...
)
xpose_data_nlmixr(
  obj = NULL,
  pred = NULL,
  wres = NULL,
  gg_theme = theme_readable(),
  xp_theme = theme_xp_default(),
  quiet,
  skip = NULL,
  ...
)
Arguments
| obj | nlmixr2 fit object to be evaluated. | 
| pred | Name of the population prediction variable to use for plotting. If unspecified, it will choose either "NPDE", "CWRES", and "RES" (in that order) if the column exists in the data. | 
| wres | Name of the weighted residual variable to use for plotting. If unspecified, it will choose either "NPDE", "CWRES", and "RES" (in that order) if the column exists in the data. | 
| gg_theme | A ggplot2 theme object. | 
| xp_theme | An xpose theme or vector of modifications to the
xpose theme (eg.  | 
| quiet | Logical, if  | 
| skip | Character vector be used to skip the import/generation of: 'data', 'files', 'summary' or any combination of the three. | 
| ... | Additional arguments to be passed to the
 | 
Value
An xpose_data object suitable for use in 'xpose'.
Examples
## Not run: 
library(nlmixr2)
one.cmt <- function() {
  ini({
    ## You may label each parameter with a comment
    tka <- 0.45 # Ka
    tcl <- log(c(0, 2.7, 100)) # Log Cl
   ## This works with interactive models
    ## You may also label the preceding line with label("label text")
    tv <- 3.45; label("log V")
    ## the label("Label name") works with all models
    eta.ka ~ 0.6
    eta.cl ~ 0.3
    eta.v ~ 0.1
    add.sd <- 0.7
  })
  model({
    ka <- exp(tka + eta.ka)
    cl <- exp(tcl + eta.cl)
    v <- exp(tv + eta.v)
    linCmt() ~ add(add.sd)
  })
}
theo_sd_fit <- nlmixr2(one.cmt, theo_sd, "focei", control=foceiControl(print=0))
xpdb <- xpose_data_nlmixr2(obj = theo_sd_fit)
## End(Not run)