Package: mlxR 4.2.2

mlxR: Simulation of Longitudinal Data

Simulation and visualization of complex models for longitudinal data. The models are encoded using the model coding language 'Mlxtran' and automatically converted into C++ codes. That allows one to implement very easily complex ODE-based models and complex statistical models, including mixed effects models, for continuous, count, categorical, and time-to-event data.

Authors:Marc Lavielle [aut, cre], Esther Ilinca [ctb], Raphael Kuate [ctb]

mlxR_4.2.2.tar.gz
mlxR_4.2.2.zip(r-4.5)mlxR_4.2.2.zip(r-4.4)mlxR_4.2.2.zip(r-4.3)
mlxR_4.2.2.tgz(r-4.4-any)mlxR_4.2.2.tgz(r-4.3-any)
mlxR_4.2.2.tar.gz(r-4.5-noble)mlxR_4.2.2.tar.gz(r-4.4-noble)
mlxR_4.2.2.tgz(r-4.4-emscripten)mlxR_4.2.2.tgz(r-4.3-emscripten)
mlxR.pdf |mlxR.html✨
mlxR/json (API)

Peer review:

Bug tracker:https://github.com/marclavielle/mlxr/issues

On CRAN:

19 exports 19 stars 3.54 score 28 dependencies 16 mentions 67 scripts 320 downloads

Last updated 1 years agofrom:b2a572e27a. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:catplotmlxexposureggplotmlxinitMlxRinlineDataFrameinlineModelkmplotmlxlixoft.read.tablemlxploremonolix2simulxpkmodelprctilemlxread.vectorreadDatamlxshinymlxsimpopmlxsimulxstatmlxwriteDatamlx

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr