Other packages > Find by keyword >

batchmix  

Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("batchmix", "2.2.2")



Attach the package and use:
library("batchmix")
Maintained by
Stephen Coleman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-21
Latest Update: 2024-05-21
Description:
Semi-supervised and unsupervised Bayesian mixture models that simultaneously infer the cluster/class structure and a batch correction. Densities available are the multivariate normal and the multivariate t. The model sampler is implemented in C++. This package is aimed at analysis of low-dimensional data generated across several batches. See Coleman et al. (2022) for details of the model.
How to cite:
Stephen Coleman (2022). batchmix: Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction. R package version 2.2.2, https://cran.r-project.org/web/packages/batchmix. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 1.0.1 (2022-06-21 12:30), 2.0.0 (2023-05-16 17:00), 2.0.1 (2024-02-15 23:40), 2.1.0 (2024-02-25 04:20), 2.2.0 (2024-04-18 17:42), 2.2.1 (2024-05-21 12:40)
Other packages that cited batchmix R package
View batchmix citation profile
Other R packages that batchmix depends, imports, suggests or enhances
Complete documentation for batchmix
Functions, R codes and Examples using the batchmix R package
Some associated functions: batchSemiSupervisedMixtureModel . batchmix-package . calcAllocProb . checkDataGenerationInputs . checkProposalWindows . collectAcceptanceRates . continueChain . continueChains . createSimilarityMat . gammaLogLikelihood . generateBatchData . generateBatchDataLogPoisson . generateBatchDataMVT . generateBatchDataVaryingRepresentation . generateGroupIDsInSimulator . generateInitialLabels . getLikelihood . getSampledBatchScale . getSampledBatchShift . getSampledClusterMeans . invGammaLogLikelihood . invWishartLogLikelihood . plotAcceptanceRates . plotLikelihoods . plotSampledBatchMeans . plotSampledBatchScales . plotSampledClusterMeans . plotSampledParameter . predictClass . predictFromMultipleChains . prepareInitialParameters . processMCMCChain . processMCMCChains . rStickBreakingPrior . runBatchMix . runMCMCChains . sampleMVN . sampleMVT . samplePriorLabels . sampleSemisupervisedMVN . sampleSemisupervisedMVT . wishartLogLikelihood . 
Some associated R codes: RcppExports.R . batchSemiSupervisedMixtureModel.R . batchmix-package.R . calcAllocProb.R . catch-routine-registration.R . checkDataGenerationInputs.R . checkProposalWindows.R . collectAcceptanceRates.R . continueChain.R . continueChains.R . generateBatchData.R . generateBatchDataLogPoisson.R . generateBatchDataMVT.R . generateBatchDataVaryingRepresentation.R . generateGroupIDsInSimulator.R . generateInitialLabels.R . getLikelihood.R . getSampledBatchScale.R . getSampledBatchShift.R . getSampledClusterMeans.R . plotAcceptanceRates.R . plotLikelihoods.R . plotSampledBatchMeans.R . plotSampledBatchScales.R . plotSampledClusterMeans.R . plotSampledParameter.R . predictClass.R . predictFromMultipleChains.R . prepareInitialParameters.R . processMCMCChain.R . processMCMCChains.R . rStickBreakingPrior.R . runBatchMix.R . runMCMCChains.R . samplePriorLabels.R .  Full batchmix package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency  
ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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