Package: nmw 0.1.5
Kyun-Seop Bae
nmw: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics
This shows how NONMEM(R) software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained.
Authors:
nmw_0.1.5.tar.gz
nmw_0.1.5.tar.gz(r-4.5-noble)nmw_0.1.5.tar.gz(r-4.4-noble)
nmw_0.1.5.tgz(r-4.4-emscripten)nmw_0.1.5.tgz(r-4.3-emscripten)
nmw.pdf |nmw.html✨
nmw/json (API)
NEWS
| # Install 'nmw' in R: |
| install.packages('nmw', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:1be8ffa1e0. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 07 2024 |
| R-4.5-linux | OK | Sep 07 2024 |
Exports:AddCoxCalcSmatCombDmExPcCovStepDECNDesclVareEstStepInitStepltv2matmat2ltvmat2utvMxObjObjEtaOiOi0Oi1OiS0OiS1PostHocEtaScaleVarSqrtInvCovTabStepTrimOututv2mat
Dependencies:numDeriv
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics | nmw-package nmw |
| Add a Covariate Column to an Existing NONMEM dataset | AddCox |
| Combine the demographics(DM), dosing(EX), and DV(PC) tables into a new NONMEM dataset | CombDmExPc |
| Covariance Step | CovStep |
| Estimation Step | EstStep |
| Initialization Step | InitStep |
| Table Step | TabStep |
| Trimming and beutifying NONMEM original OUTPUT file | TrimOut |