xposeNlme | R Documentation |
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.
xposeNlme(
dir = "",
modelName = "",
dmpFile = "dmp.txt",
dmp.txt = NULL,
dataFile = "data1.txt",
logFile = "nlme7engine.log",
ConvergenceData = NULL,
progresstxt = "progress.txt"
)
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.
|
Not all functionality from the xpose
package is supported.
xpdb
object
# 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)
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