Other packages > Find by keyword >

nonmem2rx  

Converts 'NONMEM' Models to 'rxode2'
View on CRAN: Click here


Download and install nonmem2rx package within the R console
Install from CRAN:
install.packages("nonmem2rx")

Install from Github:
library("remotes")
install_github("cran/nonmem2rx")

Install by package version:
library("remotes")
install_version("nonmem2rx", "0.1.6")



Attach the package and use:
library("nonmem2rx")
Maintained by
Matthew Fidler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-26
Latest Update: 2023-12-12
Description:
'NONMEM' has been a tool for running nonlinear mixed effects models since the 80s and is still used today (Bauer 2019 ). This tool allows you to convert 'NONMEM' models to 'rxode2' (Wang, Hallow and James (2016) ) and with simple models 'nlmixr2' syntax (Fidler et al (2019) ). The 'nlmixr2' syntax requires the residual specification to be included and it is not always translated. If available, the 'rxode2' model will read in the 'NONMEM' data and compare the simulation for the population model ('PRED') individual model ('IPRED') and residual model ('IWRES') to immediately show how well the translation is performing. This saves the model development time for people who are creating an 'rxode2' model manually. Additionally, this package reads in all the information to allow simulation with uncertainty (that is the number of observations, the number of subjects, and the covariance matrix) with a 'rxode2' model. This is complementary to the 'babelmixr2' package that translates 'nlmixr2' models to 'NONMEM' and can convert the objects converted from 'nonmem2rx' to a full 'nlmixr2' fit.
How to cite:
Matthew Fidler (2023). nonmem2rx: Converts 'NONMEM' Models to 'rxode2'. R package version 0.1.6, https://cran.r-project.org/web/packages/nonmem2rx. Accessed 03 Feb. 2025.
Previous versions and publish date:
0.1.0 (2023-05-26 21:20), 0.1.1 (2023-06-01 11:10), 0.1.2 (2023-07-03 19:20), 0.1.3 (2023-12-12 17:40), 0.1.4 (2024-05-30 00:50), 0.1.5 (2024-09-18 18:10)
Other packages that cited nonmem2rx R package
View nonmem2rx citation profile
Other R packages that nonmem2rx depends, imports, suggests or enhances
Complete documentation for nonmem2rx
Functions, R codes and Examples using the nonmem2rx R package
Some associated functions: as.nonmem2rx . autoplot.nonmem2rx . nmcov . nmext . nminfo . nmlst . nmtab . nmxml . nmxmlCov . nonmem2rx . nonmem2rxRec . reexports . 
Some associated R codes: RcppExports.R . abbrec.R . abbrev.R . advan5.R . asNonmem2rx.R . buildParser.R . collectWarn.R . data.R . determineError.R . ext.R . input.R . linCmt.R . lst.R . model.R . nlme.R . nminfo.R . nmtab.R . nonmem2rx.R . omega.R . plot.R . print.R . pro.R . readCov.R . readInNonmemInput.R . records.R . reexport.R . replace.R . rxSolve.R . rxUiGet.R . rxUiGetGen.R . sub.R . tab.R . theta.R . validate.R . xml.R . zzz.R .  Full nonmem2rx package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
mscp  
Multiscale Change Point Detection via Gradual Bandwidth Adjustment in Moving Sum Processes
Multiscale moving sum procedure for the detection of changes in expectation in univariate sequences. ...
Download / Learn more Package Citations See dependency  
xLLiM  
High Dimensional Locally-Linear Mapping
Provides a tool for non linear mapping (non linear regression) using a mixture of regression model a ...
Download / Learn more Package Citations See dependency  
INLABMA  
Bayesian Model Averaging with INLA
Fit Spatial Econometrics models using Bayesian model averaging on models fitted with INLA. The INLA ...
Download / Learn more Package Citations See dependency  
copulaboost  
Fitting Additive Copula Regression Models for Binary Outcome Regression
Additive copula regression for regression problems with binary outcome via gradient boosting [Bran ...
Download / Learn more Package Citations See dependency  
PERMANOVA  
Multivariate Analysis of Variance Based on Distances and Permutations
Calculates multivariate analysis of variance based on permutations and some associated pictorial rep ...
Download / Learn more Package Citations See dependency  

23,580

R Packages

204,057

Dependencies

63,980

Author Associations

23,581

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA