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nlmixr2scm  

Stepwise Covariate Modeling for 'nlmixr2' Models
View on CRAN: Click here


Download and install nlmixr2scm package within the R console
Install from CRAN:
install.packages("nlmixr2scm")

Install from Github:
library("remotes")
install_github("cran/nlmixr2scm")

Install by package version:
library("remotes")
install_version("nlmixr2scm", "0.4")



Attach the package and use:
library("nlmixr2scm")
Maintained by
Justin Wilkins
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-24
Latest Update: 2026-09-24
Description:
Stepwise covariate modeling (SCM) for nonlinear mixed-effects models fitted with 'nlmixr2'. Forward inclusion and backward elimination are driven by likelihood-ratio tests, and the covariate terms are generated inside the model body, so continuous covariates are centered and categorical covariates expanded into indicator columns without editing the model by hand. Candidate fits can be cached and resumed, fitted in parallel, and reviewed through per-step and all-candidate summary tables. The approach follows Jonsson and Karlsson (1998) <doi:10.1023/A:1011970125687>, and the implementation in 'Perl-speaks-NONMEM' described by Lindbom, Ribbing and Jonsson (2004) <doi:10.1016/j.cmpb.2003.11.003>.
How to cite:
Justin Wilkins (2026). nlmixr2scm: Stepwise Covariate Modeling for 'nlmixr2' Models. R package version 0.4, https://cran.r-project.org/web/packages/nlmixr2scm. Accessed 19 Oct. 2026.
Previous versions and publish date:
(2026-09-30 20:52), 0.4 (2026-09-24 15:30)
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