xposeNlme {Certara.Xpose.NLME} | R Documentation |
Creates xpose database from Certara.RsNLME output files
Description
Imports results of an NLME run into xpose database
Use to import NLME model output files into xpdb
object that is compatible
with existing model diagnostic function in Xpose
package.
Usage
xposeNlme(
dir = "",
modelName = "",
dmpFile = "dmp.txt",
dmp.txt = NULL,
dataFile = "data1.txt",
logFile = "nlme7engine.log",
ConvergenceData = NULL,
progresstxt = "progress.txt"
)
Arguments
dir |
Path to NLME Run directory. Current working directory is used if |
modelName |
name of the model to be written in |
dmpFile |
NLME generated output file. |
dmp.txt |
NLME generated output from dmpFile (substitutes dmpFile if presented). |
dataFile |
Input file for NLME Run. |
logFile |
engine log file |
ConvergenceData |
optional data frame with Nlme convergence info. |
progresstxt |
optional NLME-generated file 'progress.txt' with convergence info.
|
Details
Not all functionality from the xpose
package is supported.
Value
xpdb
object
Examples
# files in arguments supposed to be in the current working directory:
xp <- xposeNlme(
dir = getwd(),
modelName = "PMLModel",
dmpFile = "dmp.txt",
dataFile = "data1.txt",
logFile = "nlme7engine.log",
progresstxt = "progress.txt"
)
# using dmp.txt structure and Convergence Data loaded previously:
xp <- xposeNlme(
dir = "~/Model1/",
modelName = "Model1",
dmp.txt = dmp.txt,
dataFile = "Data.csv",
logFile = "nlme7engine.log",
ConvergenceData = ConvergenceData
)
# explore unique covariate plots specific to Certara.Xpose.NLME:
nlme.cov.splom(xp, covColNames = c("AGE", "WT"))
nlme.par.vs.cov(xp, covColNames = c("AGE", "WT"))
res_vs_cov(xp, covariate = "AGE", res = "IWRES")
# or use existing plotting functions from the xpose package
library(xpose)
dv_vs_pred(xp)
res_vs_idv(xp)
[Package Certara.Xpose.NLME version 2.0.2 Index]