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:
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)
| # Install 'mlxR' in R: |
| install.packages('mlxR', repos = c('https://marclavielle.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/marclavielle/mlxr/issues
Last updated 1 years agofrom:b2a572e27a. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | NOTE | Nov 01 2024 |
| R-4.5-linux | NOTE | Nov 01 2024 |
| R-4.4-win | NOTE | Nov 01 2024 |
| R-4.4-mac | NOTE | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:catplotmlxexposureggplotmlxinitMlxRinlineDataFrameinlineModelkmplotmlxlixoft.read.tablemlxploremonolix2simulxpkmodelprctilemlxread.vectorreadDatamlxshinymlxsimpopmlxsimulxstatmlxwriteDatamlx
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plot Categorical Longitudinal Data | catplotmlx |
| Computation of AUC, Cmax and Cmin | exposure |
| mlxR wrapper for ggplot | ggplotmlx |
| Initialize mlxR library | initMlxR |
| inline data frame | inlineDataFrame |
| inline model | inlineModel |
| Kaplan Meier plot | kmplotmlx |
| Read Lixoft@ files | lixoft.read.table |
| Explore and visualize models | mlxplore |
| Convert a Monolix Project into an executable for the simulator Simulx | monolix2simulx |
| Easy simulation of PK models Easy simulation of basic PK models See https://simulx.lixoft.com/mlxr-documentation/ for more details. | pkmodel |
| Percentiles of the empiricial distribution of longitudinal data | prctilemlx |
| Reads a table into a vector | read.vector |
| Read formatted data file | readDatamlx |
| Automatic code generation for Shiny applications | shinymlx |
| Population parameters simulation | simpopmlx |
| Simulation of mixed effects models and longitudinal data | simulx |
| Summary of data | statmlx |
| Write formatted data file | writeDatamlx |
