Other packages > Find by keyword >

bgmm  

Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bgmm", "1.8.5")



Attach the package and use:
library("bgmm")
Maintained by
Przemyslaw Biecek
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-01-31
Latest Update: 2021-10-10
Description:
Two partially supervised mixture modeling methods: soft-label and belief-based modeling are implemented. For completeness, we equipped the package also with the functionality of unsupervised, semi- and fully supervised mixture modeling. The package can be applied also to selection of the best-fitting from a set of models with different component numbers or constraints on their structures. For detailed introduction see: Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical Software .
How to cite:
Przemyslaw Biecek (2011). bgmm: Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling. R package version 1.8.5, https://cran.r-project.org/web/packages/bgmm. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 1.0 (2011-01-31 21:05), 1.1 (2011-02-11 18:05), 1.2 (2011-02-16 12:36), 1.3 (2011-08-25 22:08), 1.4 (2011-12-07 11:52), 1.5 (2012-03-29 18:45), 1.6 (2013-11-19 07:39), 1.7 (2014-12-19 15:57), 1.8.3 (2017-02-27 11:44), 1.8.4 (2020-03-03 14:00), 1.8.5 (2021-10-10 19:00)
Other packages that cited bgmm R package
View bgmm citation profile
Other R packages that bgmm depends, imports, suggests or enhances
Complete documentation for bgmm
Functions, R codes and Examples using the bgmm R package
Some associated functions: CellCycle . DEprobs . Ste12 . bgmm-package . chooseModels . crossval . genotypes . getModelStructure . init.model.params . mModel . mModelList . miRNA . plot.mModel . plot.mModelList . plotGIC . predict.mModel . simulateData . tools . 
Some associated R codes: Full bgmm package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

lsmeans  
Least-Squares Means
Obtain least-squares means for linear, generalized linear, and mixed models. Compute contrasts or l ...
Download / Learn more Package Citations See dependency  
RRedshiftSQL  
R Interface to the 'Redshift' Database
Superclasses 'PostgreSQL' connection to help enable full 'dplyr' functionality on 'Redshift'. ...
Download / Learn more Package Citations See dependency  
TMDb  
Access to TMDb API
Provides an R-interface to the TMDb API (see TMDb API on < ...
Download / Learn more Package Citations See dependency  
SAMBA  
Selection and Misclassification Bias Adjustment for Logistic Regression Models
Health research using data from electronic health records (EHR) has gained popularity, but miscla ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA