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MargCond  

Joint Marginal-Conditional Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MargCond", "1.0.0")



Attach the package and use:
library("MargCond")
Maintained by
James Proudfoot
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-09
Latest Update: 2018-04-09
Description:
Fits joint marginal conditional models for multivariate longitudinal data, as in Proudfoot, Faig, Natarajan, and Xu (2018) . 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.
How to cite:
James Proudfoot (2018). MargCond: Joint Marginal-Conditional Model. R package version 1.0.0, https://cran.r-project.org/web/packages/MargCond. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other packages that cited MargCond R package
View MargCond citation profile
Other R packages that MargCond depends, imports, suggests or enhances
Complete documentation for MargCond
Functions, R codes and Examples using the MargCond R package
Some associated functions: MargCond . simDat . 
Some associated R codes: Ebi.R . MargCond-internal.R . MargCond.R . Vbi.R . expandR.R . getUi.R . reForm.R . reScale.R . simDat.R .  Full MargCond package functions and examples
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