README

The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Certara.Xpose.NLME XposeNLME package logo

Overview

Certara.Xpose.NLME is an R package used to creates xpose databases (xpose_data) for PML/NLME results. Additionally, Certara.Xpose.NLME offers various covariate model diagnostic functions, not available in the xpose package.

Installation

Windows

install.packages("Certara.Xpose.NLME",
                 repos = c("https://certara.jfrog.io/artifactory/certara-cran-release-public/",
                           "https://cloud.r-project.org"),
                 method = "libcurl")

Linux

install.packages("Certara.Xpose.NLME",
                 repos = c("https://certara.jfrog.io/artifactory/certara-cran-release-public/",
                           "https://cloud.r-project.org"))

Features

Usage

library(Certara.RsNLME)
library(Certara.Xpose.NLME)
library(xpose)
library(ggplot2)


# Create two-compartment pharmacokinetic model
model <- pkmodel(numCompartments = 2, data = pkData, 
                ID = "Subject", Time = "Act_Time", A1 = "Amount", CObs = "Conc",
                modelName = "TwCpt_IVBolus_FOCE_ELS")

# Update parameters and residual error
model <- model |>
  structuralParameter(paramName = "V2", hasRandomEffect = FALSE) |>
  fixedEffect(effect = c("tvV", "tvCl", "tvV2", "tvCl2"), value = c(15, 5, 40, 15)) |>
  randomEffect(effect = c("nV", "nCl", "nCl2"), value = rep(0.1, 3)) |>
  residualError(predName = "C", SD = 0.2)

# Fit model               
job <- fitmodel(model)

# Create xpose_data object from model + fit objects in R using xposeNlmeModel()
xp <- xposeNlmeModel(model, job)

# Alternatively, create xpose_data object from model output directory using xposeNlme()
xp <- xposeNlme(dir = "./TwCpt_IVBolus_FOCE_ELS", modelName = "TwCpt_IVBolus_FOCE_ELS")

# Use xpose plotting function with theme from ggplot2
res_vs_idv(xpdb) + 
  theme_classic()

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.