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RMixtCompIO  

Minimal Interface of the C++ 'MixtComp' Library for Mixture Models with Heterogeneous and (Partially) Missing Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RMixtCompIO", "4.0.11")



Attach the package and use:
library("RMixtCompIO")
Maintained by
Quentin Grimonprez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-03
Latest Update: 2023-10-03
Description:
Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with heterogeneous data sets and partially missing data management. It includes models for real, categorical, counting, functional and ranking data. This package contains the minimal R interface of the C++ 'MixtComp' library.
How to cite:
Quentin Grimonprez (2019). RMixtCompIO: Minimal Interface of the C++ 'MixtComp' Library for Mixture Models with Heterogeneous and (Partially) Missing Data. R package version 4.0.11, https://cran.r-project.org/web/packages/RMixtCompIO
Previous versions and publish date:
4.0.0 (2019-08-03 10:10), 4.0.1 (2019-09-02 17:00), 4.0.2 (2019-12-16 11:30), 4.0.5 (2020-06-18 13:10), 4.0.6 (2020-11-20 11:50), 4.0.7 (2022-01-17 11:42), 4.0.8 (2022-10-19 16:07), 4.0.9 (2023-02-13 10:20), 4.0.10 (2023-05-07 23:30)
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