xpose4: dOFV.vs.cov – R documentation

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dOFV.vs.cov

Change in individual objective function value vs. covariate value.

Description

Change in individual objective function value vs. covariate value.

Usage

dOFV.vs.cov(
  xpdb1,
  xpdb2,
  covariates = xvardef("covariates", xpdb1),
  ylb = expression(paste(Delta, OFV[i])),
  main = "Default",
  smooth = TRUE,
  abline = c(0, 0),
  ablcol = "grey",
  abllwd = 2,
  abllty = "dashed",
  max.plots.per.page = 1,
  ...
)

Arguments

`xpdb1`	Xpose data object for first NONMEM run
`xpdb2`	Xpose data object for second NONMEM run
`covariates`	Covariates to plot against
`ylb`	Label for Y axis.
`main`	Title of plot.
`smooth`	Should we have a smooth?
`abline`	abline description.
`ablcol`	color of abline
`abllwd`	line width of abline
`abllty`	type of abline
`max.plots.per.page`	Plots per page.
`...`	additional arguments to function

Author(s)

Andrew C. Hooker

Other specific functions: absval.cwres.vs.cov.bw(), absval.cwres.vs.pred.by.cov(), absval.cwres.vs.pred(), absval.iwres.cwres.vs.ipred.pred(), absval.iwres.vs.cov.bw(), absval.iwres.vs.idv(), absval.iwres.vs.ipred.by.cov(), absval.iwres.vs.ipred(), absval.iwres.vs.pred(), absval.wres.vs.cov.bw(), absval.wres.vs.idv(), absval.wres.vs.pred.by.cov(), absval.wres.vs.pred(), absval_delta_vs_cov_model_comp, addit.gof(), autocorr.cwres(), autocorr.iwres(), autocorr.wres(), basic.gof(), basic.model.comp(), cat.dv.vs.idv.sb(), cat.pc(), cov.splom(), cwres.dist.hist(), cwres.dist.qq(), cwres.vs.cov(), cwres.vs.idv.bw(), cwres.vs.idv(), cwres.vs.pred.bw(), cwres.vs.pred(), cwres.wres.vs.idv(), cwres.wres.vs.pred(), dOFV.vs.id(), dOFV1.vs.dOFV2(), data.checkout(), dv.preds.vs.idv(), dv.vs.idv(), dv.vs.ipred.by.cov(), dv.vs.ipred.by.idv(), dv.vs.ipred(), dv.vs.pred.by.cov(), dv.vs.pred.by.idv(), dv.vs.pred.ipred(), dv.vs.pred(), gof(), ind.plots.cwres.hist(), ind.plots.cwres.qq(), ind.plots(), ipred.vs.idv(), iwres.dist.hist(), iwres.dist.qq(), iwres.vs.idv(), kaplan.plot(), par_cov_hist, par_cov_qq, parm.vs.cov(), parm.vs.parm(), pred.vs.idv(), ranpar.vs.cov(), runsum(), wres.dist.hist(), wres.dist.qq(), wres.vs.idv.bw(), wres.vs.idv(), wres.vs.pred.bw(), wres.vs.pred(), xpose.VPC.both(), xpose.VPC.categorical(), xpose.VPC(), xpose4-package

Examples

## Not run: 
## read in table files
xpdb8 <- xpose.data(8)
xpdb11 <- xpose.data(11)

## Make some plots
dOFV.vs.cov(xpdb8,xpdb11,"AGE")
dOFV.vs.cov(xpdb8,xpdb11,c("AGE","SECR"))

## End(Not run)

xpose4

Diagnostics for Nonlinear Mixed-Effect Models

v4.7.1

LGPL (>= 3)

Authors

Andrew C. Hooker [aut, cre, cph], Mats O. Karlsson [aut, cph], Justin J. Wilkins [aut], E. Niclas Jonsson [aut, trl, cph], Ron Keizer [ctb] (functionality for bootstrap of GAM and SCM)

Initial release