Package: MargCond 1.0.0
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James Proudfoot
MargCond: Joint Marginal-Conditional Model
Fits joint marginal conditional models for multivariate longitudinal data, as in Proudfoot, Faig, Natarajan, and Xu (2018) <doi:10.1002/sim.7552>. Development of this package was supported by the UCSD Altman Translational Research Institute, NIH grant UL1TR001442. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Authors:
MargCond_1.0.0.tar.gz
MargCond_1.0.0.tar.gz(r-4.5-noble)MargCond_1.0.0.tar.gz(r-4.4-noble)
MargCond_1.0.0.tgz(r-4.4-emscripten)MargCond_1.0.0.tgz(r-4.3-emscripten)
MargCond.pdf |MargCond.html✨
MargCond/json (API)
# Install 'MargCond' in R: |
install.packages('MargCond', 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 7 years agofrom:e76f47a6b4. Checks:1 OK, 1 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 03 2025 |
R-4.5-linux | NOTE | Feb 03 2025 |
Exports:EbiexpandRgetUiMargCondprint.MargCondprint.summary.MargCondreFormreScalesimDatsummary.MargCondVbi
Dependencies:bootgeelatticelme4MASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulas
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Function to fit joint marginal-conditional models for longitudinal multivariate data. | Ebi expandR getUi MargCond print.MargCond print.summary.MargCond reForm reScale summary.MargCond Vbi |
Function to simulate multivariate longitudinal data | simDat |